TW200846965A - Instrumentation and schematization of learning application programs in a computerized learning environment - Google Patents

Abstract

A computerized learning method is provided. The method may include receiving a write request from a first learning application program to write a learning level for a skill in a user profile. The user profile is configured to store data indicative of a plurality of skills and a learning level for each skill. The skills and learning levels are defined according to a profile schema. The method may further include writing the learning level for the skill in the user profile. The method may also include receiving a read request from a second learning application program to read the learning level for the skill in the user profile. The method may finally include retrieving the learning level from the user profile, and sending the learning level to the second learning application program.

Description

200846965 IX. INSTRUCTIONS: TECHNICAL FIELD OF THE INVENTION The present invention relates to instrumentation and basic modeling for learning an application in a computerized learning environment. [Prior Art]

Video games have emerged as an effective tool for learning a variety of subjects. However, the current learning-oriented game for the earth has been designed as an independent experience, and it is not possible to measure, store or retrieve learning materials about game players between different games. For example, the skill that the user is paid in a game is not available for other games to read or modify. When the game comes from different publishers, for example, because each publisher uses a different data format, this problem can be mixed. As a result, the family must re-start acquiring skills and will spend unnecessary time playing games on levels that do not match the user's skills. Although some video games enable a user to select the overall difficulty level before starting a game, it has the disadvantage that it may lead to a false self-assessment and does not consider the difference between the different skills in the player's ability. In addition, the user selects the difficulty level game and does not provide some mechanism for the game to update or modify the difficulty level of the user, for example, if the user selects a level of difficulty that is too low, or if the use These mechanisms are needed to improve their skills through practice in the game. Therefore, the user may be tired of an overly simple game or quit a game that is too difficult. In the end, because of the difficulty level in the game 6

200846965 can not be compared with the difficulty level of another game, so it is impossible to compare the user's learning in the game between different. For this reason, the experience in learning software applications has been isolated, segmented, and accumulated. SUMMARY OF THE INVENTION The present invention provides a computerized learning method. The method can include the first learning application receiving a write request to write a skill learner into a user profile. The user profile is configured to store some data indicating a plurality of skills and the level of each skill. The skills and learning levels may further include writing the learning level of the skill and other learning materials in the user profile according to a profile definition method. The method can also include receiving a read request from a second learning application to read the level of the skill and other learning materials in the user profile. The method may ultimately include extracting the learning level and other learning materials from the user file and transmitting the learning to the second learning application. The present invention is provided for the purpose of describing the invention in a simplified manner, and the description of the "invention" is not intended to determine the key features of the subject matter of the patent application, and is not intended to be used. To limit the scope of the patent application. Also, the subject matter of the patent application is not limited to those embodiments that solve any or all of the disadvantages noted in any part of this disclosure. The game can't be learned from a study. The program is set to learn the settings of the transcript group or the base 1

200846965 [Embodiment] 1 - Overview FIG. 1 shows a computerized learning system 100 of a computerized learning system 100 including a user user configured to execute each of a plurality of learning applications 104 intermediate programs Each of the learning materials is configured to communicate with a learning service program 106 via an expiration month (API) 108. The plurality of user-receivable devices 102 interact with the computerized learning system 100 either asynchronously (i.e., at different times). The learning service is used to store the learning materials of each user in a setting file. The information can be used by the application programming service program 106 for a plurality of different learning application application programming interfaces. The learning service program is processed by a read and write request from the learning data in each of the learning application programs 104, as described in detail below. As used herein, "program" means any software or group of executables, data files, libraries, codes, database records, etc. that may be executed or utilized by one or more computing devices of the computer. It should be understood that the system 106 can include a local component and a line component. A portion of the user's client device 102 is executed, and the online component can be executed on a line. The device 102, through one or more of the plurality of users, passes through the user user step (i.e., at the same time) the program 1 0 6 through the group setting file 110. The interface 100 8 and the learning 104 are configured to receive the data for the user and evolve the learning system 100 firmware component, the driver, the instruction, and the learning service Native components can be used to learn the service server system 11 6 8

200846965 On-line learning service program 11 4. The native component is connected as a subset of the online component functionality. Alternatively, the local "simple client" (e.g., a web browser) can communicate with the service via the internet. Whether the learning is performed on a client device via a thin client (which is served remotely) or as a standalone application resident, it is described as being executed on the client device. The setting structure 11 can be stored in the user user terminal installed in the peripheral device associated with the user client device 102 as shown at 110 A, or located in a data storage with the server on the line. In the device 8i 8, as shown at 1 10B, the client device 102 and the online server system 1 16 are communicated by a computer network 12, the computer network may include a (WAN) 122. The learning of the user client device 1 1 2 can be configured to communicate with the online learning service spears via the WAN 1 22 through the application programming interface 1 〇 8 learning service 1 1 2 '. In other embodiments, for example, the computer network-wireless telephone network' is configured to communicate with a computer-supported or other mobile computing device. The user client device 1 可 2 can be a personal computer, a wireless telephone, a portable data assistant (PDA), or other means - a computer operating system configured to interact with the learning 104. The user client device 1 可 2 may include various components that are not included, including but not limited to a processor, which may be displayed by the application soft application when not available. In the middle, the system is 11 6 phases. The usage mode is used for the WAN application and the native r program 1 14 120 can be used for the wireless telephone. The computer is supported by the computer, the application program is shown in FIG. 1 . 1 bus 9 200846965

It is connected to a volatile memory (e.g., random access memory), a non-volatile memory device (e.g., read only memory), and/or a mass storage device (e.g., a hard disk drive). The user client device 102 is further configurable to receive input from one or more associated user input devices 124 such as a keyboard, mouse, stylus, camera, game The controller and/or the microphone) transmits an output to an output device such as a display 126 and an audio speaker 128. It will be appreciated that such input and output devices can be integrated into the user client device 102, such as a laptop or mobile phone. As noted above, peripheral device 130 can also be provided having a non-volatile storage device 13 2A, 13 2B for storing a copy of the profile 110. The peripheral device 130 can be, for example, a stylus with a memory, a mouse, a portable USB flash drive, etc., and can be configured for connection via a wired or wireless connection or directly to the use. The client device 102 further includes a plurality of other client devices connected to the computer network 1 20, such as the local peer-to-peer client device 134, the remote peer-to-peer client device 136, and a parent. The client device 138 and an administrator client device 140. It should be understood that as used herein, the term "administrator" is used broadly to refer to certain personnel who have authority to manage educational services to a student population and include personnel such as teachers and administrators, as follows Detailed explanation of the text. Thus, a separate user interface can be provided for the education administrator and the organization administrator to access the learning system via the administrator client device 140. Like the user client device 102 class 10 200846965, each of the other client devices 1 34-1 40 is configured to execute the learning application 104 and the native learning service program 11 2 one or more. Since these services 134-140 are configured in a manner similar to device 102, they will not be described in detail. It should be appreciated that the computer network 120 can further include a local area network (LAN) 142 and local point-to-point client devices 134 that are configured for use with the network via the 142. The client device 102 communicates. The LAN 142 can be a wireless or wired network.

The remote peer-to-peer client device 136 is typically connected to the WAN 122 of the computer network 120. It should be understood that the main difference between the local peer-to-peer client device and the remote peer-to-peer client device is the individual points of its connection with the computer network 120, and a single computing computing device (eg, a portable laptop) Or a mobile phone supporting a web page) can be transferred between network access points instead of taking the role of the local and remote connected peer-to-peer devices. Similarly, it should be appreciated that the parent client device 138 and the administrator user device 140 are configured to connect to the WAN 1 22 and may instead be connected to the LAN 142. It should also be understood that the difference between the parent client device, the administrator (eg, teacher or organizer) client device, and the user client device also depends on which of the plurality of users is using the client device. Accessing the learning service system 106, the user device used by the user to access the learning service may be different from the client device accommodating the learning service program. For example, a child user can run a learning application on a first computing device, and a parent user can access the online learning service via a second computing device that does not have a learning application to view the child. 11 200846965

User game statistics. Referring to Figures 1 and 2, as described in detail below, the native learning service program 1 〇 6 and the online learning service program 11 4 can be configured to have a user interface module 1 * 4 A, 1 4 4 B, parent interface modules 146A, 146B and administrator interface modules 148A, 148B, these interface modules are individually configured for user level, parent level or administrator level permissions The authenticated user displays a user, parent, and administrator interface. Thus, the role of a particular client device can vary with the authenticated user using the client device. It should be understood that the user interface module 144A, the parent interface module 146A, and the administrator interface module 1 48A may be part of the web service program 143, and each program may be executed in one of the online server systems 161. Separate, specially built web server. On the other hand, the modules 144B-148B can be executed by the local device on the user client device 1〇2. Continuing with reference to Figures 1 and 2, each of the native learning service program 112 and the online learning service program 11 4 may also include a software engine configured to provide a particular function. In the configuration shown, each of the engine is provided in the native learning service program and each of the online learning service programs. The set of software engines is shown to include: evaluation engines 15A, 150B; suggestion engines 152A, 152B; matching engines 154A, 154B; reward engines 156A, 156B; arbitration engines 158A, 158B; reporting engines 160A, 160B; synchronization engine 162A, 162B; and statistics engine i64a, 1 64B. These engines may generally be described without specifying a location, or may be specifically described by indicating that the location of the engine is local or online. It should be understood that such engines may reside on both the local and line 12 200846965, or may be provided in one or the other of the native service programs or online service programs. For example, in a specific embodiment, the arbitration engine and the suggestion engine reside only on the online learning service program, and thus the local arbitration engine 158A and the local suggestion engine 152A are omitted. The functions of each of the above engines will be described in detail below.

As mentioned above, the computerized learning system 1 can include a data storage device 1 1 8 that is configured to communicate with the online server system 116. The data storage device 187 can be configured to store data used by the online server system 161, including the configuration file 110, as discussed above and in the description of 110B, including The generated recommendation 168, the statistical data 170 generated by the statistical engine, the dedicated game base model 172, and the scaffolding base mold 174. The functions of these data types are also described below. The evaluation engine of the learning service system 106 can perform an evaluation test on a user. In a specific embodiment, the in-game evaluation is performed by the learning application 104. Alternatively, a request can be sent to the evaluation engine of the learning service program 106 to perform an evaluation test to the user. The evaluation test is designed to verify the level of learning determined in the in-game assessment. For example, when it is determined that a user can advance to a learning level, the content of the learning application can be made more difficult and related to the rising level. Therefore, one of the evaluation tests aims to verify whether the content adjustment proposal in the learning application is appropriate based on a learning level. Thereby, the learning service program 106 can verify that the in-game evaluation of the user learning level is substantially equivalent to the evaluation of the user's learning level within the evaluation engine.

_ 矸 矸 测试 2008 200846965 Estimate, after that, the assessed learning level can be updated to the usage setting target 110. Another related purpose of the evaluation test is to verify that the application is presenting the user with standardized content or content consistent with the degree. If a learning application continues to advance to the user's level and the user fails the evaluation test, the service operator can inform the learning application provider that the content of the learning program should be made more Difficult to meet the accepted standards. For example, the receiving criteria can be defined by the learning service operator. In this way, the assessment test facilitates the standardization of the acceptance of prizes, which are available in a number of learning applications. In addition, the evaluation engine can be used to verify that the adjustments to the support provided by the Scaffolding Engine 210 are properly associated with the skills acquired by the learning application. The user is preferably able to accept an authorization to perform the evaluation test before performing the evaluation test. Specifically, the evaluation test can be performed by the online learning service program 114 such that the parent of the user can verify an evaluation test from a remote client device before the user can test. Correspondingly, an API may request to receive data, and the test is performed according to the prize data stored in the user profile 110, so that the evaluation test can effectively test the user as a product. Hope to acquire the skills. In addition, after the award of a prize to a user who can send a notification to the authorized parent of the user, the parent of the user can learn from the profile 110 and learn from the student. The parent who used the parent in the method of obtaining the prize according to the certificate of the winner.

200846965 A notification message is received in the parent data view, which is described below. The report engine 160A, 160B can arrange a plurality of pre-selections for storing the data stored in the enabler 110 to the user. Specifically, the profile learning file can be arranged for a user corresponding to accessing the information, for example, A student's parents, a management user, and so on. In this way, the report can be arranged by the API to use the data set by the user to be viewable, and the reports can be changed by the user. Referring now to FIG. 2, each of the user client device applications 104 is configured to present FIG. 3 (GUI) 200, including a challenge presentation mechanism 202, the user presenting a challenge, and further including a The user is configured to receive from the user as a user configured to generate user performance data from the application application received by the user response mechanism 204. efficacy. The GUI 200 is also supported by the group 2 1 2 (also known as the "Eagle") to complete the challenge. The learning application 104 may further include a game including a copy of the dedicated game base model 172. The dedicated tour is, for example, in the form of a game configuration file, which is written in a markup language, as described in detail below. The tour will be used to provide a more detailed description of the user's profile selection report. During the check, the viewing user, the trigger, and the learning device interface of the file 110 are configured to respond to the response mechanism 202. In response to the learning 206, the representation is used to assist the user to the user, and the engine 208 can use a scalable engine for the production of the GUI 200 on the learning application. The game shown. For example, the game engine 208 can control the audio and visual output of the learning application ι〇4. Using the input from the scaffolding engine 210, the support system 214 of the learning application can determine and control the content and provision of the support 212. The scaffolding engine is configured to store a copy of the scaffolding base model i 74, which provides a standardized architecture for the custom-made support of a user's rated eagle φ position, as described in detail below. The application design interface 1〇8 as shown in FIG. 1 may include an external API 1〇8A and an internal API 1〇8B as shown in FIG. 2. The ports A ι 108A and 108B are individually configured to transmit and receive data between the learning application and the profile 1 10, the profile being stored in the non-volatile storage device of the user client 102 132B, as indicated, or may be stored in a non-volatile storage device of the peripheral device, as indicated at 110A. In addition to the local replica of the profile n〇B, the non-volatile storage device on the user terminal device 1〇2

• More configured to store a copy of the dedicated game base model 172 and 麾 A 174. /焉永基模-driver 216 or other suitable device interface is provided for communication between the user client device 102 and the peripheral device 130, and the second network interface is provided to facilitate the user's user terminal installation: The online servo H 116 or other is connected to the computer network, and communicates. Between the two, Figure 3 shows a learning service program login interface. 3 ~ Example 16 200846965

Specific embodiment. The login interface 3 〇 0 can be a graphical user interface that is displayed at the beginning of the learning service program 106 and can prompt the user to log into the learning service program 106 by entering or selecting a user identification code. Input and selection are via a selector, such as a user selector 302, a parent selector 304, and an administrator selector 306. In the illustrated example, the selection of one of the selectors 302-306 prompts the user to enter a user identification number and password to log into the system. Once logged in, each user ID can be linked to a particular profile and an appropriate interface, such as a user interface, parent interface, teacher administrator interface, or an organization administrator interface can be displayed to the user. This will be described below with reference to Figures 4, 11, 12 and 13. It should be understood that a user identification code can be linked to a single user profile 110, and the parent identification code can be linked to one or more student profiles, and the administrator identification code and the teacher administrator identification code can be linked. To multiple profiles. Additionally, the login interface 300 can include a new user selector 3 08. The add new user selector 308 can be selected by a first time user who is logged into the learning service program 106 each time. After the selector 308 is selected, the first time user can be prompted to create a profile 11 0. In a specific embodiment, the creation process of the configuration file 110 may include: creating a user identification code; selecting a recognition picture or embodiment; selecting one of the setting mechanisms 110; selecting a primary language ( And select an auxiliary language when applying); and select many other possible personalization/differential attributes for the profile. Once the profile 11 is created, the profile can be added to one of the login interfaces to select a client identification code, and stored in the user client device 102, peripheral device 1 as described above. 30 or a data storage device 118 associated with the online server system 161 〇

In some embodiments, the login interface 300 can include a visitor selector 310 that a user can select to interact with a particular learning application. By logging in as a guest to the learning service, a user can skip the creation of the profile 110 and can be granted a visitor identification code. A visitor can interact with various learning applications, but usually does not store user performance data, and once the visitor stops interacting with the learning application, the learning level will not be tracked. In addition, a visitor has limited or no ability to interact with other online users. In some embodiments, the login interface 3 〇 0 can be displayed to reflect the execution of the application. Alternatively, the login interface 300 can be used as a component of a setup interface that can be selectively displayed by the learning service program 106. In some cases, the login interface can be selectively displayed during interaction with the learning application to enable different users to log in or log out of the learning service. FIG. 4 illustrates an exemplary embodiment of a user interface 400 that may be generated by the user interface modules 144A, 144B of the learning service program 106. The user interface 400 can be a graphical user interface that displays information associated with a selected user and corresponding to the user's profile 100. The user interface 400 can display a user identification code 402. In some cases, the user identification code can include a picture 403, 18 200846965, for example, an image, an art design, an embodiment, and the like. The user interface 400 can also include a friend status list 406. In one example, the friend status list 406 can display friends (or other online collaborators) associated with the particular user. In a more specific example, the friend status list 406 can display which friends of the user are currently logged into the learning service (native or online). In some embodiments, the friend status list 406 can include a detail selector configured to display a friend graphical user interface that displays detailed information about the user's friends.

The user interface 400 can include a prize pane 408 configured to display prizes indicative of achievements that the user has achieved in each of the plurality of learning applications. In a more specific example, each of the displayed prizes can include a prize picture 409 and a description of the completed task associated with the prize. In some embodiments, the prize pane 40 8 can include a detail selector configured to display a prize graphic user interface that displays detailed information about the prizes awarded by the user. The user interface 400 can include a learning level progress pane 410. In one example, the learning level progress pane 410 can display the learning level of one or more selected skills of the user. In the particular embodiment described, a graphical and textual description is included to indicate the learning level of the user's plurality of skills (English and Math). In one embodiment, the learning level progress pane 410 may present learning level information for the user compared to other users. For example, a comparison of the user's statistics with a user group may be displayed, or the user may be compared to one or more other users. The user interface 400 can include a list of available games 412 that are configured to display the title of the appropriate learning application, which is depicted in Figure 4 as The Golden Dragon, Word Drop, Navigator, and Story.

Creator. The game titles can be selected by a user to purchase or execute the related learning application.

2 · Profiles The interaction of the various components of the computerized learning system 1 with the profile 11 and the organization of the profile 1 1 0 will be discussed in detail below. As discussed above, the application design interface 1 〇 8 is configured to receive user performance data 206 from a plurality of learning applications 104 executing on a user client device 102, and to use the The performance data is stored in the user profile 110 in the non-volatile storage device 132A, 132B, and the non-volatile storage devices 132A, 132B can be accessed from the user client device 1.2. As shown in Figures 1 and 2, the learning service program 106 is configured to read the user performance data 2 0 6 from the user profile 110 and process the user performance data. 2 0 6, to determine one of the skills to assess the user's learning level. The evaluation may be performed by the native evaluation engine 150 of the native learning service system 112 or by the online assessment engine 150 of the online learning service program 11 4 . The application design interface 1 〇 8 can be configured to send the evaluated user learning level of the skill to the requesting learning application. The requesting learning application can in turn be configured to adjust the content based on the evaluated learning level. One way in which this content can be adjusted is to adjust the difficulty of the presented challenge. In addition, the level of support 212 provided by the support system 214 can be adjusted based on the user learning level, as discussed below.

As shown in FIG. 4, discussed above, the learning service program 6 can have a graphical user interface configured to display a representative of the data contained in the user profile 110. A graphical representation of one of the evaluated learning levels including one or more skills in the learning level progress window 410 is reviewed, the evaluated user learning level being received from the plurality of learning applications based on the learning service program 106 The performance data is calculated by 2〇6. The graphical user interface can be configured to display, on the graphical user interface, statistics of the user's profile Π0 compared to other users' suction profiles, for example, as shown in FIG. The teacher administrator graphical user interface is also described below. It should be understood that this statistical sampling is merely exemplary, and other appropriate material organizations collected from player behavior may also be added to the GUI. Referring to Figure 5, the data stored in the profile 11() can be a plurality of data types, including: (1) metadata 5 〇 2, which defines user characteristics; (2) setting 504, for self The user's settings are set to ιΐ; (3) control and restriction 506' is used to limit various user behaviors associated with the user profile 1 〇; (4) community member information 5 〇 8, for example The user's friend's information; (5) the user's learning level information $1 〇; (6) the game material 514, which is related to one or more learning applications in the user's past play. And (7) student storage device 516, ^ at 21 200846965 stores various media collected by the user, such as sound, video, and the like. It should be understood that this organization is merely exemplary and other suitable categories may be added to achieve different features and functions. Each of these categories will be discussed in turn. These types of data are described in detail in an illustrative specific embodiment of one of the setting bases shown in Table 1 below.

The first table sets the basic mode element content 1. Metadata learning client version Int Profile ID Int (offline online) Set slot password encryption parent ID code Parent code encryption synchronization time stamp Int (network or PC identification Code) Synchronized PC ID Int Screen Name String Main Language/Region Setting Area ID Support Language/Region Setting Area ID Color Int (Background Color of User Interface) Picture Jpeg Game ID (Array) (Plays, The last play period) The prize/game identification code prize identification code (array)/game identification code (array) 22 200846965

Naked prize content image (standard jpeg), title, description (string) 2. Set pen/mouse/hardware speed slow 1 medium fast reverse normal 丨 reverse sync to PC Manual I automatically sync to Restricted network, Internet manual 1 Automatic 3 control / Restricted community ID sharing No I only friends 1 Restricted network 1 Internet community content sharing No I only friends I limited network 1 Internet wireless Content sharing No I only friends I restricted network 5. Community member friend identification code (array, 100-500) Group identification code (array, 2-5) Group member identification code for each group identification code ( Array, 50-1 00) 6. Learning Levels Each quasi-record contains 5 learning level records, recorded to enable cross-game verification levels. 23 200846965 Read the English level identification code, game identification code, date and English level identification code, game identification code, English writing level identification code, game identification code, date spelling English level identification code, game identification code, Listening to the English level identification code, game identification code, date plus level identification code, game identification code, date minus level identification code, game identification code, date multiplier identification code, game recognition and code, after the flood period Level identification code, game identification code, date <many other> Game game specific settings stored in the game storage area 8. Student storage area story binary pattern binary image binary

As described above, the profile metadata 52 can include elements such as a learning client system version element, a profile identifier, a password, a parent identification code, a synchronization date time stamp, a network identification code, a synchronized PC identification code, a screen. Name, primary language identifier, secondary language identifier, color, picture, application array, harvest array, and winning content elements. The learning system 24 200846965 client system version element may include a unique identification number of the system detected during the most recent access profile 11 0 . This ensures that the client application is up to date with respect to the server software. The profile identification code can include a unique identification code associated with the user of the set gear 110. The profile identifier can be used to identify the user as being online or offline. The password associated with the user's profile 110 may be an encrypted password that was received as a user input during the start of use of the profile 110.

The parental identification code can be a unique identification code associated with the approved parent of one of the users. Once approved, the parent may be another user associated with the user, such as a parent, teacher administrator, or organization administrator, who is authorized to modify the control element of the profile 110. In addition, one of the users may be authorized to modify a plurality of profiles by the approved parent. For example, a teacher may obtain an authorization to modify a profile associated with a student within the teacher's class. The synchronization date stamp may be an element of the profile metadata that identifies, for example, the most recent communication synchronization between the profile 1 1 0 on the user client device 102 and the online learning service program 11 4 . Additionally, the synchronization date stamp can be associated with a network identification code and/or user client device identification code associated with the synchronization date stamp. It should be appreciated that the set floor 110 can be associated with a particular client device. Additionally, profile 110 can be limited to synchronize with a single user client device. For example, a user attempting to synchronize to a plurality of personal computers with profile 11 may be prompted to select an association with one of the plurality of personal computers. 25 200846965

The setting file metadata 5 0 2 may include a screen name. The primary language recognition language and the auxiliary language identification code and/or the local area identification code may be associated with the user's input ''''''''''''''''' The regional identification code usually refers to one of the geographic areas in which the user is located. Profile 11 can be associated with a background color and a picture, such as a jpeg, to enable the user to customize the graphical user interface. The application array may include a game identification code uploaded from the game metadata, a number of play times, and a deadline for playing the game for the last time. Additionally, the prize array can include a prize identification code associated with the game identification code when the prize is used to complete the prize. Each prize identification code can be associated with a /title and a description. The settings 504 associated with the profile 110 may include the following elements: pen/mouse speed, reverse element, sync element to PC, and the same dream element to the network, although various other elements may of course be added. The pen/mouse rate element can include slow, medium, and fast settings. The inverting element can facilitate setting a learning application including a control system GUI (eg, an aircraft simulation GUI) to operate in a reverse mode, such that, for example, by pushing a game joystick forward rather than Push the game joystick backwards to control an airplane to climb up. The elements that are synchronized to the PC and synchronized to the network facilitate one of the manual or automatic synchronization options based on a parameter (e.g., a user preference setting, learning application specification, etc.). Controls and restrictions 506 associated with profile 11 may include elements such as community identifier sharing elements, community content sharing elements, wireless identity sharing elements, and a wireless content sharing element. The community ID number is 26 200846965

The element is configured to allow other users to access the view of the shared portion of the user's profile 11 0 . In some embodiments, the community identification element may be selected by an authorized parent of the user and/or by an authorized administrator of a user group. For example, the community identification code sharing element can be set to restrict other users from viewing the user's profile 11 〇. Additionally, the shared element can be set to restrict all user view profiles 110' unless otherwise authorized. In another example, access to the profile 11 可 view may be limited to the user's authorized friends. In still another example, other users in a restricted network may be authorized to access the view of profile no. The community content sharing element can be configured to allow the identified user in the community identity common element to view a particular element in profile 110. The community member information 508 associated with the profile 110 can include the following elements 'friend array, group array, and a group member array. The friend array element can identify a profile associated with one or more friends of the user' such friends can view the profile 110 of the user. Thus, if the user enables access to the view of the settings via the access control in the graphical user interface, the profile identified in the friend array element identifies the accessibility profile 11 0 view. The list of members of the community also facilitates easy access and direct communication with them from the user profile. The group array element identifies the group to which the user belongs. In one example, an authorized parent and a user are members of a group 'The access may be limited to the network identification code corresponding to the parent and user's home and school network ◎ learning service 106 may have An API, which is used to manage users and groups, and can present a user interface through which users and groups can interact. As shown in the first table and in the fifth figure, the setting block 11 can set a plurality of skills 512, such as reading 518, saying 52, writing 522, spelling 524, listening to 526, adding 528 'minus 530, multiplying 532 and 534. It should be understood that

Various other skills can also be added to the profile base, such as digital conventions, pattern recognition, auditory unit recognition, and many other skills. It should also be understood that a plurality of learning levels can be defined for each skill. As described in this particular example, they are numbered 0-3, but may be any other suitable level range. Each learning level element may include a game play record of the learning application 1-4, which is updated to a profile 丨 〇. In one example, each learning level element can include a record of application-specific learning material that can be used for up to five recently used learning applications. In addition, each record associated with the learning application can include: a learning identification code associated with the learning level element, and uploading the game metadata of the application-specific game model 72 to the profile 11 The game identification code, for example, the date associated with the most recent application of the recorded learning application. Certain learning level elements, such as reading, speaking, listening, spelling, and listening, can be grouped into a common language identifier so that the skills can be tracked separately in each language. The profile game data stored in the game material 514 may include the following elements: for example, a game storage element for continuing the stored game; and a game setting element for setting the learning application to be used 28 200846965 The setting. In addition, student storage device 516 can include elements such as a game element, a pattern element, and a picture element, or other personalization items for storing media associated with learning application 104.

Figure 14 illustrates a computerized learning method 1400 for utilizing a profile with a plurality of learning applications. At 1402, the method can include receiving user performance data for the unique user from a plurality of learning applications executing on a user client device. At 1 404, the method includes determining an evaluated user learning level based on the user performance data. It should be understood that the process of determining the assessed user learning level is an in-game evaluation that is at least partially achievable by a native learning service performed by the user client device 102. Alternatively, it may be an inter-game learning service evaluation, which may be performed by the local learning device 11 or the online learning service program 11 4 by the client device or the online server system 116. carry out. The data in the profile 11 0 can be organized according to a predetermined fundamental mode. At 1 404, the method can include adjusting the content of the requesting learning application based on the user's profile 1 1 0. For example, the difficulty of the challenge or the type or extent of support provided can be adjusted. At 1406, the method can include storing the evaluated user learning level in the user's profile 110. The user profile 110 can be based on a profile base module and can be configured to store learning level information for each of a plurality of skills. For example, the plurality of skills can include one or more language acquisition skills, and one of the language acquisition skills can include vocabulary mastery. In this kind of situation 29

In the case of 200846965, the user's profile 1 i 〇 can be configured to store some words 'has been proven to be known to the user. For each 杲子, you can apply a variety of skills. For example, different language acquisition techniques are defined as reading, speaking, writing, spelling, and listening to each vocabulary word. In addition, you can define other skills beyond the language acquisition skills. By way of example, the plural may include: visual skills such as pattern recognition, auditory skills such as electrical, mathematical skills such as addition, subtraction, multiplication, division, mathematics, or substantially any other suitable learning skill. It should be understood that the user's profile π 〇 can be configured to store one or more kinds of data: setting file data, user setting data, control data, community member data, game data, and user storage resources as above. As stated in the article. Moreover, as discussed above, the user's settings can be stored in a location that can be accessed by a local user on a user's client device, such as a storage device 118 that can be accessed by the online learning service program 114. As described above, a copy of the user's profile 110 can be stored in a user client device or a peripheral replica of the user's profile 110 can be stored in a first-line service. The method can further include synchronizing the native replica and the remote replica of the profile according to a predetermined synchronization rule. At 140 8, the method includes transmitting the user learning level to a requesting learning application. At 1410, the method can include displaying a view of the profile 110 on a graphical user interface, such as displayed on the interface 400 described above. At 1412, the method may include displaying the user's profile U〇 on a graphical interface and setting the vocabulary vocabulary with other users, and the literacy is always stored to access the material. Storing a set, a user-initiated user-user file 30 200846965 Comparative statistics, such as the parent and teacher-shaped user interfaces 1 1 00, i 200 described below. For example, the comparison statistic compares a user or a group of users with the same learning application user or user group, or with those users who have already learned the application, and such comparisons Learning can influence the learning of similar skill types. Guaji Modeling and Instrumentation As discussed above, the computerized learning system 丨00 can be used for the basis of instrumentation and instrumentation. Basic modeling refers to the format of data exchanged between software components of the computer system 100, such as data exchanged between the learning service program, the application design interface, and the program. Instrumentation refers to the process of assembling, storing, and capturing the ability to model the data for a software, such as the application programming interface 108. The interaction of the instrumentation and the fundamental modeling of the various components of the computerized learning system 100 will now be described. As discussed above, the electrical system 100 can include a plurality of learning profiles stored in the non-volatile storage relocation 132B. Each profile is out of a user, and each profile can include a profile. The basic model organizes the material, wherein the learning material includes one or more skills. Further one Select one of each skill from a plurality of possible learning levels to evaluate the learning level. The computerized learning system 100 can further include learning 1 06 'which is configured to receive from a plurality of learning applications, and can include a program, which can include a program to play through, and a learning application system. The process, the learning application provides the income, and the I 132A, I association. This learning step can be used to estimate the user service program. As an example of 31 200846965, the requests may be used to read learning materials for each of the skill learning levels from each of the user setting broadcasts' or to each of the user profiles Write the information. The requests may be sent from the learning application 104 via the application design interface 108 and received by the learning service program 106. The computerized learning system 100 can include an arbitration engine 158A and 158B configured to determine such

Whether each of the read and write requests is authorized. The engine can compare requests submitted by a plurality of users who have played a multi-player learning application together. This comparison can be used to determine if any of the requests submitted via the application settings interface have been tampered with. The local arbitration engine 1 8 8B can determine whether to allow read and write requests for a native copy of a profile, and the arbitration engine 158A can determine whether to allow the setting stored in the data store 丨8 Read and write requests for online copies of files. Alternatively, all arbitrations can be performed by an online arbitration engine that can be omitted. Figure 6 illustrates an example of an application interface set 60 of one of the application design interfaces i 〇 8 including: an update level API 602 configured to respond to a learning application Write request to update the learning level of a user profile; a read level API 604 configured to respond to a read request from a learning application, and to learn from the set of rights私准/古·一窝人户 ^ In the white level value, the horse enters the store game API 606, which is configured to respond to requests from a learning application, will currently travel

The play library is stored in the user setting right. The read storage game API 608 is configured to respond to a request from one of the learning applications from 32 200846965

The stored game data is retrieved from a user profile; a game setting API 6 1 0 is written, which is configured to respond to a request from a learning application, write a game-specific setting; An API 612 is configured to read a game specific setting from a user profile; a game storage API 614 configured to write data to a user storage area of a user profile a read storage API 616, and a read settings API 618, and a read profile API 620, each configured for user storage area, setting area, and settings from a user profile Read the data in the file ID. The collection of APIs enables each of the plurality of learning applications having sufficient meters to read data from or write data to each of the plurality of user profiles. The following table summarizes a specific embodiment of the profile API set 600 discussed above and lists the parameters passed and the return values. The second table configuration file API set API name parameter return value UpdateSkillLe v -*TL δ and the file identification code technology el can identify the code skill level value 9 [game identification code, inferred period: 1 ReadSkillLevel profile identification code technology Request technique: can identify the identification code, the ground code, the skill level int s [, the inferred game array, the period information (each identification code) a quasi-identification code up to 10), and Calling the game 33 200846965

Identification code level WriteS avedGam e Profile identification code, binary [game identification code, inferred date] ReadSavedGame profile identification code [game identification code] profile identification code, binary WriteGameSetti ng profile identification code, setting identification code Setting value ReadGameSettin gs Setting file identification code, setting identification code setting file identification code, setting identification code, setting value WriteStorage setting file identification code [game identification code] ReadStorage setting file identification code [game identification code] setting file identification code, two Carry ReadSetting profile identification code, set identification code profile identification code, setting identification code, setting value R ead P rofi 1 e profile identification code, name, color, picture, language/region setting profile identification code, each setting The value of the file type has another element in the modeling of the data exchanged in the computerized learning system 100, which is a dedicated game model 1 72 that is used to organize the data associated with a particular learning application. The dedicated game base module 1 72 can organize the information associated with a special learning application to the game metadata, which identifies the characteristics of the learning application; the information can be organized into the game learning material. It identifies various skills that are recommended by the user for the application, or that are available through the game; or in the game prize material, which defines the milestone achievement, as such Achievements are awarded to the prizes in the learning app.

The game metadata can be organized into elements such as the game identification code, the game title, the minimum and/or maximum number of players of the game, and the online play function of the application. Game learning materials can be organized into elements such as dedicated target skills and skill levels at which a skill identifier can be assigned to the target skill element. In this way, the application can present a skill level range for one or more of the skills associated with a learning application for the user. Game prize materials can be organized into the following elements: achievement identifier, achievement name, maturity description, ability to display an achievement (displayable achievement, a description can be assigned to it so that the user usually knows how to achieve the achievement) ), the value of each maturity, and the image of each achievement. An example embodiment of a dedicated game base model is shown in Table 3 below. Table 3 Dedicated game basics Element Content 1. Metadata Game ID int Game title String Number of players int (min)? int (max) 35 200846965 Play online? Yes 1 No 2. Learning Materials Target Skills Number of Skill IDs Skill Range Skill ID Array, skill level value [int (min)5 int (max)] 3. Prizes Achievement ID int Achievement Name String Achievement Description String Hide? Yes 1 No Description of achievements not described String points int image PNG file

Returning to Figure 5, as discussed above, the profile learning profile 5 1 0 of the profile 11 is configured to store the learning level 534 for each of the plurality of skills. In the particular embodiment shown, there are four learning levels for each skill, labeled 0-3. A textual explanation of the differences between the different learning levels of the illustrated skills (listening to English) is shown in Figure 5. It should be appreciated that the skills 512 can include any skill suitable for basic modeling, including generally grasping a vocabulary word that can be configured to receive a request to read a user's vocabulary word set, and the response comes from The learning application requests to write a new palm to the user profile.

200846965 Holding a vocabulary word. In the particular embodiment shown, the device stores a learning level for each of the following skills, each of which reads 5 1 8 , 520 , and 526 . Thus, for example, when modifying a usage content or support, it can be grasped not only according to the user but also according to the relative learning level of the user in terms of the vocabulary. It should also be understood that mathematical skills such as multiplying 5 32 and dividing 534 may also be included in the technique illustrated in Figure 15 using a fundamental modeling learning level 1500. As shown at 1502, the method can be packaged at program 106 to receive a learning level of a skill and/or other learning material from a first learning application. As discussed above, the user setting rights and the learning level of each skill are based on a setting of 1 5 04, the method includes determining that the write request has been authorized before writing the learning bit data of the skill. . In the learning level of each skill and/or other learner profiles, at 1 508, a request is made from a second learning application to read other learning materials for the skill in the user profile. At 1 510, the method can include taking the learning level and/or other learning materials from the location, and transmitting the level and/or other learning materials to the second learning request and the writing request can be Received via the programming interface set 600 described above. In addition, as described above, the profile is configured to be able to write 522 to the target language, and the spelling 524 presents a challenge. One of the vocabulary words is a different word plus 5 2 8, minus 5 3 0, and 512. The computerized learning method includes a learning service and a write request to write a user setting including a plurality of skill file basic model definitions. In the quasi-and/or other learning 1 506, the method package data is written to the user program to receive a read learning level and/or its user profile 撷 15 12 to apply the learning sound application. The reading of the profile application. Discussion, the skill 37

200846965 can be used to master most of the vocabulary words in a target language, and the learning service can be configured to send skills and learning data from a user profile to a learning application as a read request The response data indicates that the vocabulary word set is already known to a user. Figure 16 illustrates another embodiment of a computer chemistry 1600 that utilizes a fundamental modeling learning level. As shown at a learning application, the method includes transmitting a read request to a learning service 106, the read request being used to read a skill stored learning level request from a user profile The user profile can be edited by the plurality of learning applications via the learning service program. The learning and skills are defined according to a setting, as discussed above, 16 04. The method can include receiving the reading request. 'Ask for a response, which sends the learning level of the skill to the learning application. At 1 606, the method can include a user challenge via the user interface of the learning application. At 1. 608, the method can include providing a support selector to the user via the user interface to assist the user in responding to the challenge, wherein the user performance data includes support history data, wherein the use of the support selector is indicated Use. Examples of running selectors are shown in Figure 7 and discussed in detail below. The support selector is operative to enable a user to select in a plurality of support categories, each support category corresponding to the one defined in the profile base model. For example, for a learning application related to language acquisition, the selector can be configured to enable a user to write in a written form, a transactional class, and one of the other classes of the 1602 program. Among those who include the party, the person chooses support for the form to the group. The form is supported by the user's first language and the user's target language. The support selector for the learning application associated with the acquisition of mathematical skills can include, for example, different options. According to another example, the support selector can be a challenge support selector configured to enable the user to select support to understand the challenge presented to the user. In another example, the support selector can be a response support selector that is configured to enable the user to select support to respond to the challenge.

Providing support: either responding to a user's request for support (extraction), or when receiving a predetermined support threshold (push-in support), the process of providing support to the user in the special month can be used as Make the falsity record, and constitute a skill learning level; for example, I believe that users who often ask for help: prepare for the learning level, and rarely ask for help. Can be used as a candidate for promotion. In 1 6 1 2, the gentleman, 1 to method 1 600 may further include the learning application, the victim interface

_ ^ Sighs respond to the challenge, the user 敎诵窨%L depends on the response to the challenge. For example, at 1612, the J 匕 蕙 该 该 使用 使用 = = = = = = = = = = = = = = = = = = 612 612 612 612 612 612 612 612 612 612 612 612 612 612 612 612 612 612 Inaccurate response number, the response is for this purpose. At 1 61 2C: User performance data including inaccurate responses The response data may include determining the accuracy of the response and may include the accuracy of the response. 39 200846965 According to an example, the method can include receiving a spoken response from the user via a microphone and determining the accuracy of the spoken response. Thus, the response data may include the accuracy of the spoken response, which may be a spoken language expression in a target language. The method can further include determining, via a game-based learning evaluation module (not shown) that the stored learning level of the skill should be updated to an updated learning level, the determining process being at least Partly based on the accuracy of the spoken response. .

According to another example, the method can include receiving a written response from the user via the user interface and determining the accuracy of the written response. Thus, it should be understood that the response data may include the accuracy of the written response, which may be the ability to write a language in a target language. Additionally, the method can include determining via a game-based learning assessment module that the stored learning level of the skill should be updated to an updated learning level, the determining process being based at least in part on the accuracy of the written response. At 1 6 1 4, the method can include determining, based on user performance data from the learning application and a predetermined learning evaluation rule, that the skill learning level of one of the user profiles should be updated to an updated learning level. . It should be understood that this determination process can be based on responses from multiple users of the challenge. Thus, as indicated by the dashed lines between steps 1612 and 1 606, the method can repeatedly present a number of challenges to the user prior to the 1 6 1 4 determination step. For example, the user may be presented with a challenge set containing a predetermined number of challenges that are continuously presented to the user, and the determination process at 1 614 may be based on a plurality of the challenge sets received The response. At 166, the method can include sending a write to the learning service program 106 a request to modify the learning level of the skill in the user profile to an updated learning level. 4 • Scaffolding The following is a detailed description of the interaction of the various components of the computerized learning system 1 to obtain a scaffolding support system. As described above with reference to Figures 1 and 2, the computerized learning system 1 includes a learning application 104 executable on the client computing device 102. The learning application can further include a user interface configured to present a challenge to the user and receive a user response to the challenge. The user interface can include a support system 2 1 4 that is configured to provide support to assist the reader in responding to a challenge. The learning application can further include an eagle bow|210 configured to determine the user's skill in the outline of the eagle, and according to the eagle level, is adjusted to be via the support system 2 1 4 Read the support provided by the energy 2 1 2 . The scaffolding level of the skill can be stored in a user profile, such as in a non-volatile memory accessible by the learning application via the application interface 108. The support system 2 1 4 can be configured with an extraction aid option, in which the support system 241 responds to a user assistance request and provides support via one of the user support selectors. The support system 2 1 4 can be configured with a push-in support option in which the support system 2 1 4 responds to the response parameters provided by the measurement. Push and extract support is explained in more detail in Figure 7 and Figure 8. Referring now to Figure 5, the scaffolding engine can assign one to the user.

The inter-picture package uses the package to make the support of the engine. The eagle 41 200846965 is a standard position, which is selected from a plurality of eagle frames. The position of the eagle frame corresponds to the learning level of the user. . As a specific example, each learning level may have a related scaffolding level selected from a group consisting of no N, low L, middle, and peer. In the particular embodiment shown, the user has a high (Η) eagle level and a learning level 1. It should also be noted that the learning level 〇-3 may have a name associated with it, for example, beginner, basic, medium, and high-order, and the level is the basic. In addition, the support system 2 1 4 can be configured to adjust the number of push and extraction supports provided to the user based on a user's level of the profile of the skill, and provide the most in the high profile position. Extract and push support, provide some push support and full extraction support at the medium scaffolding level. No push support is provided in the low scaffolding position. Only some extraction support is provided. When the scaffold is closed, no push is provided. And extraction support. Therefore, it should be understood that not only can the challenge itself be customized to match the learning level of the user, but the support for the challenge can also be adjusted to match the user's level of the specific skill. . The measured response parameters (the support system 214 provides push support for the parameter) may be selected from a group consisting of a response time, an incorrect response (response attempt), and an accurate level of response. And the score composition. A predetermined threshold can be set for each measured response parameter type, and when the threshold is exceeded, the user provides push support. As an example, the skill can include listening, and the support 212 can include audio. As an example, the skill may include reading, which may include text. In yet another example, a user with the lowest score in a group of users may be provided with a push to provide support to a user whose score is below a predetermined threshold. In addition, the support 212 can be provided in the user's native language, either in spoken or written form. This support 212 can also be provided in spoken or written form in the target learning language. In addition, the support system 214 is configured to assign a cost to the supported application, the cost being used by the read support system 214 to assess whether to reduce the user's eagle level. For example, the cost of providing support in a target language can be lower than the cost of providing support in a native language. The support system 214 can be configured to display the support 212 in various output formats, such as text, audio, video, video, sensation pressure, etc. 'The output is attributed to the non-player of the learning application character. In addition, the support system 2 1 4 can be configured to display the support 2 1 2 as one or more user response options in one or more input formats, for example, via a one-click text input, via a microphone Audio input, via a hand or input, press a mouse button, a gesture acquired by a camera, and so on. The learning application can be configured to perform an in-game evaluation and determine that the user has obtained a user scaffold level. The in-game assessment may be based on the user's use of the support in response to one or more challenges. Usually, the in-game evaluation is based on the cumulative pattern of the user's use support', which is in contrast to other users' support models. The learning application can be further configured to issue a write request to update the user's profile after evaluating that a user has obtained a new scaffold level. The learning application can evaluate when a user uses a supported version that corresponds to the usage pattern of other users in a new scaffolding position.

200846965 The user has reached the new scaffolding level. By continuously performing a game evaluation, the user's eagle position can be adjusted to expand the user's level of learning. In this way, the support provided to the user can be reduced and the learning speed can be improved. In addition, the learning application can be configured to assign a learning development area to the user based on the assessed learning level and the scaffold for a skill, as shown at 538. The proximity development area indicated at 538 is used to measure a near range of a user's current learning ability and can be used to adjust the support or selection content presented by the learning application, with the goal of presenting content and support. To achieve the user's high understanding and learning ability, but not beyond this ability. For example, the language program 104 can be configured to determine if a game content unit (e.g., pick or support content) belongs to a neighboring development area, and if not, avoid presenting the content to the user. In another example, the learning program can be configured to determine that a content unit (eg, challenge or support capacity) is higher than the currently evaluated and recorded learning level of the user, but is the most Close to the development area, and can determine to present the content to the user in this case to encourage the user to learn the growth of the level, test whether the user is approaching a new scaffold level or learning level. When adjusting one of the user's scaffolding levels or a learning position, the closest development area can be considered. For example, if the closest location indicates that a user's learning level is extended to a new scaffolding level or degree, at least the learning application and one of the learning service programs may begin to formally evaluate and review the scaffolding application. Information, and arbitration, in order to request at least the innermost scholars to fight the most warfare, _ should be within the scope of the

200846965 The scaffolding level and one of the learning levels are changed. In addition, the review of the application data of the scaffold indicates that the position of the user's eagle frame is higher than a threshold level, and the user's level can be updated, and the closest development area should be adjusted. In some embodiments, the support system 214 can display a user accessible dictionary, including each of the plurality of words in the challenge. The dictionary is usually a service level and is a component of the learning service program 106. As an example, the information may include information selected from a group including the definition of the word in the target language of the user, the description of the single, the use of the word in the context, and the use of voice. One of the words is an audio file, and a pronunciation detector configured to evaluate and evaluate the user's pronunciation of the word. According to another example, the support system of the learning application is configured to interface with one of the plurality of support levels via a user of the learning application. The selected support level is selected based on the user's eagle position. The user's eagle frame is read in a user profile, and the profile is stored in the memory. When it is determined that the user performance in a learning application reaches or exceeds the predetermined threshold of the super eagle frame advancement, Adjust the profile. Figure 17 illustrates a computerized learning method 1 700 that can be used to provide scaffolding support. As shown at 17 02, the method can include a learning application that reads a user scaffold level from a profile stored in non-volatile memory. If the user's scaffolding level is correct and can be phased to present the application, the language of the word and the word of the word out of the order can be received, and the appearance can be self-existing, and The method > includes, in the user may include 45 200846965

A plurality of scaffolding levels defined by a scaffolding base model. At 1704, the method can include receiving a request for support in a support system for the learning application. At 1706, the method can include measuring a response parameter selected from at least one of a response time, an incorrect response (response attempt), an accurate level of response, and a score. At 1708, the method can include determining if the measured response parameter meets or exceeds a predetermined threshold for presentation support. At 1710, if the threshold is exceeded, the method can include presenting the selected support item as a response to the measured response parameter. At 1712, the method can include selecting a support option from the plurality of support options for the skill based on the falcon level. Example support options are given below with reference to Figures 7 and 8, which can be selected based on a detected eagle level. At 171, the method can include presenting the selected support option to the user via the user interface of the learning application. Figure 7 depicts a specific embodiment of a user interface that may be generated by a learning application executing on a computing device, for example, as described herein with reference to Figures 1 and 2. In the following, the user interface may also be referred to as a "game interface" in which the user interface presents a different level of learning game. The game interface 700 can be configured to present a challenge to a user and receive A user responds to the challenge. The challenge can be presented based on the learning level of the skill or skill set by the user. For example, a user's learning level can be indicated by a profile status column 702. Column 702 can display a current learning level of a user for a skill or skill set that is applied to the particular learning application. Additionally (or as desired), the profile status column 702 can display a user's eagle frame. 46 200846965 准. The game interface 7 0 0 can include the challenge grip 丄戮 phase: group 7 0 4, which can challenge the user Wang. Challenge nuclear group 7 〇 4 can &# ,. ^ ^ 』 It has been shown that the challenge is not displayed in the form of a written form, at least one of the user's native language (for example, Chinese) and the target language of the learning (for example, English, 4, for example). Challenge. In some months, the § a challenge is presented by an unplayable character, and one of the features, Xiao I 707, can be included in the adjacent challenge display pane 706, so that

The user is able to identify who is providing the challenge. As described above, the learning application can include a support system 214 that can provide support to the user based on the user's eagle position to respond to the challenge. The support system 214 can be configured with an extraction support option 'in this option', the support system 214 responds to a user's request for support to present support, and can also be configured with a push-in support option, in this option, The support system 2 1 4 responds to the response parameter presentation support after measurement. In addition, push support and extraction support can be selectively used depending on the level of a user's eagle. In at least one embodiment, the scaffolding levels can be selected from the group consisting of none, low, medium, and high. Correspondingly, the support system 2 1 4 can be configured to: enable the push-in support and the extraction support when detecting that the level of the scaffold of one of the users is high; When the level of the scaffold of one of the users is determined to be medium, the push-in support option is disabled and the all-fetch support option is enabled; the scaffold level of one of the county elders is detected to be low. When all push-in support options are disabled, and some & support options are enabled; and when the status of the scaffold that detects one of the users' skills is no, the push-in support and extraction support are disabled. 47 200846965 Two options. In some embodiments, the learning application can be configured to display various types of visual support and audio support based on the user's scaffolding level. For example, users with high scaffolding levels in basic English can receive both written and spoken support, while users with low scaffolding levels can only receive spoken language support. In the particular embodiment shown, the

The user has a high eagle position so that both visual and audio support can be provided. , rent, > —-, (b), hot air% is also provided as one or more support selectors on the user interface. The challenge module 〇4 can include an extraction support selector 705 to assist the user in responding to the challenge. In some cases, one of the spoken or written forms may be used to provide support in the user's native language. In some cases, one of the spoken or written forms may be used in a target learning area (for example, providing support in English. Specifically, the challenge module includes an extraction support option 705, for example, a target language written support selector 7 〇8, target language port support selector 710, national language written support selector η], and national spoken language support selector 714. As a response to the selection of the user, the markup language written support selector 708 can The challenge is displayed in the display language in the display language in the display pane 7〇6. As a user-selected target language spoken language support selection steaming 708 can play the frequency record of the challenge, the record is in the target language. Speaking, the audio recording can be played from the speaker of the user's client device 102. In response to the user's selection, the native language written support selector 712 can: 48 200846965 not in the 706, to the country The written form of the language shows the challenge. In response to the user's choice, the target language spoken language support selector can play the audio recording of the challenge, which The recordings are spoken in the target language. It should be understood that the selector 7〇5 is a challenge support option because they are configured to provide support to help the user understand the challenge. The game interface 700 can include The response module 716 is configured to enable the user to respond to the challenge. The response module 7 i 6 can include a written response

The pane' is configured to display a written response from a user and may also include a spoken response selector 720. The response selector 72 is selected to activate an audio recording device for obtaining a spoken response from a user. In some instances, a user's response may be in writing only in a spoken form, depending on the particular challenge. In such cases, the learning application can adjust the appearance of the response module to present only the relevant response mechanism (i.e., the written response pane or the spoken response selector). The support system 2 1 4 can be configured to display support as text or audio as a user response option. Accordingly, the response module can include a response support selector 72, which is configured to provide extraction support to the user, similar to the support selector of the challenge module. Specifically, the response support selector 721 can provide target language written support, target language spoken support, written support in the native language, and spoken language support in the native language. In some instances, a challenge may include multiple responses that may be presented in the response module, for example, responding to "yes" or "no." In such cases, the response module can include a support selector that corresponds to each of the respective responses, similar to the challenge selector, discussed above. For this reason, 49 200846965 will not describe these response support selectors in detail. In some embodiments, the support system 214 can use a cost for the support. The cost may be used to assess whether the reduction or (or increase) of the user's eagle position may be based on, for example, response time, number of response attempts, requests, and the like. Thus, cost meter 722 can display the number of support for a user's purpose to account for the challenge and to the specification of the support request for its scaffolding level. In addition, the cost changes the appearance of the user each time the support is requested, so that the keeper has an indication indicating the number of remaining support requests. For example, the meter can change the color each time a support request is made, and the cost meter is listed. In addition to the visual cost meter, it should be understood that the cost can be implemented in another suitable manner, such as by a score, if a user uses support to complete a pick with fewer points. In some embodiments, the support cost may vary depending on the support. For example, the cost of presenting support in the native language can be the cost of the target language presentation support. In addition, in some cases where the support can be eliminated or reduced according to the position of a user's eagle frame, a user with a high eagle level (ie, a user needs to be more likely) may not have the support cost. In some examples, the support system 214 can be configured with a dictionary 724 accessible to the user. For each of the plurality of words presented to the challenge in a challenge, the dictionary can include a slice configuration for system 214. The user's instructions are available to the user. The user can indicate that the 722 can be used, or the support barrier, the root cause, and the type of support can be higher than the cost in the application. To help display a group of 50 200846965 information for a group of users, the group includes: a definition of the word in the target language and the native language of the user; a medium indicating the word; a word in the context The actual example sentence; use the voice to speak the audio frequency of the word; to the pronunciation detector. The sound detector can be configured to receive and evaluate a user's hair. In some embodiments, the dictionary can be selectively used based on at least one of the eagle and the learning level. Figure 8 shows another example description of the game interface 700 for use by a user having a low scaffolding level. In this example, the user has a low eagle level 'has less support for the selection' as shown in the extracted extraction support selector, which cannot be used. Referring to the challenge support provided in the challenge module 704, the target written support selector 708 and the native language written support selector 712 mark language spoken language support selector 714 are not available for selection. Further, in the reply selector 72 1 , the target language corresponding to the response is written and supported. Since the user has a lower scaffolding level, the branch can be adjusted to expand the learning ability of the user. In addition, it should be understood that various types of push and push support may not be available depending on the user's learning level and/or the user's scaffolding level. For example, some extractions and promotions may be used for entry or basic learning, but not for medium or level. In the illustrated example, the user has a medium level of learning' based on the learning level of the user, some of the extraction support is available to the user. FIG. 9 is a schematic diagram of an example of a support system 2 1 4 in a user of the learning application 〇 4, which provides a user with a push-in statement and the single-frame configuration. The choice of language and purpose should not be allowed to be included in the study of high school literature and can be mentioned 51 200846965 for support, as described above. In the instance t, a user can use the private. The written support selector requests extraction support in the response module, as shown at 902. The scaffolding engine 21〇 can receive the extraction support request and can send the target to Gu Kui Shi Shi & this 'unprinted support plate for display, as shown in 904. Correspondingly, the response selected by the user can be displayed in the response pane in the target language. In another example, the scaffolding engine 21 is shown. Measureable each: Used to provide the push-and-roll problem _ in the mouth should be the parameters. In order to achieve this goal, the eagle frame can be packaged. The response attempt counter 906 and the response timer 9〇8 are included. Respond to the trial count, the number of the respondents is 9〇6, and the number of the respondents can be entered into the response module. As time goes by, after responding to many challenges, the number of recorded attempts can be compared to the number of thresholds. #果The number of attempts recorded by the counter reaches or exceeds the threshold number', then the eagle "engine can start the push support 91g, this is because the number of users' help requests indicates that they need more help. The timer 908 can record the time elapsed since the presentation of the challenge and the user made the correct response. The elapsed response time is more likely to be a threshold time comparison with the passage of time, in response to many challenges. After counting, 'If the response is lapsed or exceeds the threshold time', then the scaffolding engine can initiate push support 9 1 0. In the case of the case, push support is provided as written support in the target language. 'It is displayed in the response module, however, push support can include other books: or spoken support. In addition, in some cases, push support can be presented by non-player characters to help the user respond to the challenge. The table illustrates a particular set of scaffolding rules that can be used to provide push and extract support in accordance with the scaffolding level in the user interface of Figures 52 to 46,946, to Figures 7 through 9.

The fourth table is based on the position of the scaffolding and the support of the scaffolding level. The support is supported. The two users use the push or extract support. There is no cost based on the user's response time. All support is push support. When the language audio is played, the target language subtitle automatically appears, and the subtitle will remain on the screen until the user makes a successful selection. After a predetermined delay of unsuccessful response, the audio will be repeated at a slower rate. If the user still has not made a selection, the national language subtitle appears (below the target language subtitle) after a first predetermined threshold time value (e.g., 20 seconds). After a second predetermined threshold time (e.g., an additional 20 seconds), the native language text is read aloud. At this point, the user interface takes the form of a "middle" scaffolding, such a scaffolding button 53 200846965

Appears in the block of the target subtitle. These national language subtitles will disappear unless they are called again. If a user presses a select button during the progress of the automatic eagle, the automatic eagle stops. However, if the user fails to respond successfully, the scaffolding buttons appear on the screen of the non-player character (NPC) text area, as in the middle scaffolding scenario; however, in high-rack situations, use such There is no "penalty" for the button. _ At the time of the presentation, the target language subscript hovering over the title automatically appears on the extraction help selector, and a quick support pane is generated that explains the purpose of each button (explained in the target language). The extraction help selector must be picked up to activate the scaffold it supports. The user can 54 200846965

Click on the "Read" button to have a non-player person repeat the statement, each time being slower, up to a total of three times. After the button is connected three times, the subsequent number of repetitions is at the lowest speed. The low-low-arch scaffolding model is advanced, providing less direct support than the above. After a non-player character reads a target language phrase, the "Repeat" option becomes available for the user to press. Each time the user presses the button, the audio gradually becomes slower until it is repeated three times. After pressing three times, all subsequent presses will repeat the text at the slowest speed. After the "Repeat" button is pressed for the third time, the "Target Language Subtitle" button becomes available. Pressing this button will make the English subtitle 55 200846965

It can be displayed on the screen for 10 to 20 seconds. Other buttons can still be pressed. Once the "target language subtitle" is pressed, the "national language subtitle" button becomes available. Pressing this button will cause the national language subtitle to display for 10 to 20 seconds. Other buttons can still be pressed. The "Read in native language" button becomes available after the "Home language subtitle" button is pressed. The text is only read at a speed each time the button is pressed. Other buttons can still be pressed. Each time you press the sister, the user's "translator headset" battery is consumed. The target language audio repeat will consume 2.5% of the remaining battery energy each time. The native language subtitles cost 5%. The national subtitle or audio cost is 10%. Once the battery energy is reduced to 10% or less, each press of a 56 200846965 button will cost 1 point (1 point is equivalent to 1% of the total battery capacity) 〇 No No No

It should be understood that the above-described scaffolding rules are merely examples, which are designed to be applied to learning applications that teach language acquisition. If the scaffold is used in a learning application associated with other subjects, such as mathematics, the eagle can take a different look. For example, all help can be in the native language and no longer distinguish between native and target language support. In addition, a mathematical problem extraction or push-in help can display blocks of knowledge that can be used by the user to solve the mathematical problem, or can begin to solve an equation step by step, and so on. 5·EVALUATION AND RECOMMENDATIONS Referring now to Figures 18A and 18B, a flowchart of a computerized learning method 1 800 will be described which is used to determine a learning application recommendation. The suggestion can be provided by the user, the parent of the user, or one of the administrators of the user via a kiosk user interface. In some embodiments, the suggestion may indicate one or more learning applications. These learning applications can be used to enhance a particular skill of the user. In this way, the proposal can provide some learning applications that can be used to improve the specific skill more effectively than the application that the user randomly selects from a group of learning applications. In this way, 57

200846965 The user's learning level is more or more advanced than when there is no suggestion. Beginning in 802, one of the users set up to learn the input of the application and receive it. As an example and FIG. 2, the user can configure features in a particular learning application via the user user input device 124. Also as described herein, one or more of the elements described in the profile 1 table. At 1 804, the feature can be stored in a user profile. As shown at 1806, the method can further include: wherein, at least one of the plurality of learning applications is performance data. As an example, the user interacts with or uses the specific learning application to receive performance data related to the interaction. Some of the specific energy information can be received by one or both of the native learning service program 11 2 or line 11 4 . The performance data can be used by the 1 50B to determine that one of the user's particular learning is stored in the user's profile. Note that the user is resident at the client device 102, at 10 10A, or remotely stored in the data storage device. 18. The performance data may also be obtained by the evaluation engine 15A'i5〇B user's other learning materials. 'As a charge or replacement for this use. For example, in some embodiments, the scaffold level or skill that can be newly stored in the user settings may be faster. The feature may be included as one or more of the inputs of the apparatus 1 of FIG. The configuration file is not limited to the first user. In the learning service process, the user's learning application learning service program is received. The learning service program evaluation engine is 5 〇A, and the level is The profile of the stored object can be at 110B of the peripheral device shown here. This use to update the learning level complements the evaluation engine to other learning materials. 58

The suggestion that the suggestion may include one or more references to the second suggestion may be based on the updated learning level of the user or its I. In some embodiments, a plurality of learning applications are used to collect performance data from other users to display a forward model, and the recommendations may be determined by comparing the types, and the other users should use the Share - or multiple match settings. As described herein, suggestions may include - or multiple learning applications, websites, printed or electronic publications (such as books), or other content stored or referenced by the learning service, which has already been associated with such learning services. The knowledge of the content or the metadata disclosed at 200846965 08, the method may further comprise: updating the usage-learning level and/or other learning f based on performance data from at least one of the plurality of learning applications material. In response to the user's interaction with the learning application, when the learning service receives the performance fee, the evaluation engine 15GA, 15GB is configured to determine one of the users based on the performance data generated by the interaction. Learning level. The learning level of the user-specific skill can then be used to update the learning level of the skill in the user's settings. In some embodiments, the previous learning level and the updated learning level stored in the user profile may be used to measure the change in the learning level of the user. For example, the user's learning level of each skill determined by the learning service program remains the same as rising or decreasing relative to the previous learning level stored in the profile. As discussed above, the evaluation engine can reside in either or both of the online and online service programs. At U10, the suggestion engine 152A, 152B can determine that the reinstatement production is in place f > the machine is used in one of the sub-uses 59 200846965. In some embodiments, the recommendation may A specific part or challenge of the learning application is further indicated, which can be accessed by the user to enhance a particular skill. As discussed above, the suggestion engine can reside on either or both of the native and online service programs. However, although described in the figures as being stored in two locations, it should be appreciated that in some embodiments the suggestion does not reside in the local machine, but resides only in the online server system 11 6 on.

At 1812, the method can include identifying a group of users based on at least one of the matching profile characteristics of the user. For example, the identified group of users may have at least one profile feature that matches the user, wherein one or more of the matching profile features may be received as input from the user. Alternatively, the learning application can infer the matching profile characteristics from the user's behavior. As an example, the user group can be selected according to the native language and the target language of learning. However, it should be understood that other matching profile characteristics can be considered. The matched profile feature may further include similarities in the learning trend data or other materials retrieved in the learning service, but are not explicitly displayed in the user profile. The identification of one or more user groups is now described in more detail with reference to Figure 20. As indicated at 1 8 1 4, the method can further include updating the learning level of the user group using a prior learning level from the online learning service. For example, when each user in the user group interacts with a learning application or uses the learning application, the learning in each of the users can be updated in each user profile. The level is as described above with reference to 1908. 60

200846965 As shown in 1 816, the method may further include measuring a change in the learning level of the user group between the previous learning level and the new learning level, the learning level attribution The selection of a plurality of learning applications to a selected program. The learning level of each user in the user group can be used to determine which learning applications are more effective in improving the learning level of the use. At 1818, the user may be determined based on at least one of two factors, the updated learning level of the user and the measured change in the learning level of the usage group. For example, the method can determine a suggestion by the user based on the updated learning level of the user. In addition, the recommendation can be determined based on the measured changes of the learning level of the user group. For example, the suggestion can be determined by the suggestion engine to indicate some learning applications that have resulted in the greatest improvement in the learning level for a particular skill in the user group. Note that the suggestion can indicate any suitable number of learning applications or specific challenges associated with a learning application. As an example, the suggestion may indicate at least one of a plurality of learning applications. In a specific embodiment, the suggestion may further include a special application challenge of a learning application. As a further example, the suggestion may indicate at least two of the plurality of learning applications. Moreover, in some embodiments, it is recommended that the learning application previously used by the user is not included. In one manner, the learning application, book, or website can be recommended to the user for use by the user without prior purchase or purchase, thereby reducing the likelihood of the suggestion and increasing the relevance of the suggestion. Change the lesser builders, so it’s true that some of the simplifications of this y verb 61 200846965

As shown at 1 820, a weighting factor can be determined based on a comparison of the user's profile characteristics with the user group. As described in detail in Figures 20 and 21, a weighting factor can be applied by the suggestion engine to account for the relevance of the learning information obtained by the user group. As a non-limiting example, the profile characteristics of the user can be compared to the profile characteristics of each user in the user group. For example, the more the user's profile matches the group's profile, the greater the weighting factor that can be determined. In this way, the suggestion engine can better consider the learning information associated with a user group, which more closely matches the users who provide suggestions, thereby increasing the relevance of the recommendation. As shown at 1822, the method can include assigning a suggested value to each of the suggested learning applications. These suggested values can be used to display the suggestion on a graphical user interface. As an example, the relative position of each learning application indicated by the suggestion on the graphical user interface can be assigned a suggested value based on each learning application. For example, a suggested value may be assigned to each learning application of the recommendation according to the measured change in the learning level of the user group and the weighting factor of the user group determined at 1 820. . Note that in some instances, a weighting factor may not be used by the suggestion engine when determining one of the suggestions from the user. For example, the user can be assigned to a group of users without determining a weighting factor. As a non-limiting example, when displayed on the graphical user interface, the learning application indicated by the suggestion can be arranged in a particular order. This order is the recommended value for each of these learning applications. 62 200846965 Example σ can be assigned to the learning application that maximizes the learning level of the user group, and can be assigned to the learning application of the plurality of learning applications. The order of the order - level or top. Phase & 'For a learning application that does not improve the learning level of the user group', to assign it a lower recommendation value, causing the learning application to be displayed near the bottom of the list, or on a different page . In this way, the user or the parent, teacher or other administrator of the user will be more likely to choose the most effective learning application. At 1824, the user's suggestion will be stored. As an example, the (4) may be received in the learning service, or stored locally in the local machine or in a remote manner on the online learning service.乍 is another η example 'The suggestion can be stored in the user's profile, :: stored in the local profile of the client, in the vicinity of the file, or in the remote location. Online learning service. The use of this party / can be determined in advance for a user's request for advice, thereby reducing the time required for the user to provide advice. One: At 1 826, the user's request for advice can be requested. For example, the user will request a suggestion in the learning service program. $, the user is missing the parent* έ 官 officer or other administrator can request the proposal at the same or different user device via the respective parent & or other administrator graphical user interface. The door user 28 does not, the method can include displaying the suggestion on a graphical user interface of the learning service program. (5) Fruits are stored before the request; ~Recommended 'T to draw the recommendation from the learning service. Or, according to 63

200846965 Request for this recommendation to determine the recommendation. If the application is suggested, the method can include each learning application in the graphical user interface. In each of the embodiments, each program in the graphical user interface can be based on the recommended value for each learning application indicated by the suggestion. Figure 19 illustrates an example graphical user interface showing a suggestion 1 900. The suggestion 1900 can be determined, for example, by another suitable method of the clause. The suggested 1 900 instructions are described, however, as discussed above, books, websites, or included in a suggestion. In this particular example, in the proposed environment, in the market, the recommended item availability market can be configured to enable the user or one of the users to purchase a learning application from an online subscription service or Access to the program. This market can be configured for use in other projects in the proposal, such as books, ordering, and more. As shown in the graphical user interface, the learning application market is used to display the user 1 or the parent, teacher administrator or other administrator can access the programming market, which can be similarly at 1 902 Instructions. The graphical user interface is currently displayed for user 1 In this particular example, the learning application 1-N is indicated by the graphical user interface by the labels 1932-1940. The display indicates that the learning is displayed on a plurality of learning planes, and the relative programs on the learning planes are assigned to a user display 11 800 or by using a plurality of learning applications. Other content may also be displayed in a market. For example, the administrator can purchase the inclusion of the website for purchase by purchasing, and 1 can log in to suggestion 1 900. In addition to the learning application, 1904 indicates the suggestion. Suggested to show, but you should understand that the 64

The 200846965 recommendation may indicate any suitable number of learning applications or their particular choices as the variable N in the fourth learning application shown. In addition, it should be understood that the suggestion may indicate a learning application that spans two or more pages displayed on the graphical user interface or occupies a scrollable. Therefore, the 19th figure can represent only the sub-learning application of the suggestion of the user 1. The first learning application indicated by the user 1 suggestion is indicated by . The first learning application can be indicated by a title 1 908, which is shown as "Learning Application Language Gamma". One of the learning styles, the customer rating of 1 910 can be represented graphically, for example by many. It should be appreciated that other suitable methods can be used to display a user rating for the learning program. One of the groups used by the learning application can be indicated by 1910. Such skills may be derived from the recommendation for recommending a learning application to the user based on a particular learning level associated with each of the learning abilities. Example The set of skills associated with learning application language gamma includes skills such as reading, speaking, and listening. In addition, the skills may include one of the skill ranges illustrated by Figure 17, for example, it is represented as 1 - 4. However, the appropriate range or value can be used. You can display the gamma of the learning application 1 9 1 4 . For example, a description of the learning application gamma can show: "The highest rated application." An image 1 934 further indicates that a graphical representation of one of the applications can also be displayed. A purchase interface 1 9 1 8 can be displayed by the graphical user interface, so that the user or the user's administrator can select and purchase the learning response, and the window portion 1906 can be used as the application skill user. , other descriptions of the gamma in English, the use of the course 65

200846965 style. For example, a selectable icon 1 920 can be displayed with the title "Purchasing". In addition, a learning application gamma may require 2 5 points to complete the purchase process. One or more stamps 19 21 may be adjacent to each learning application suggestion, indicating that the learning application has won a stamp and is therefore recommended by a third party authentication service, such as a survey, a government agency, a school, and many more. The second learning application indicated by the user 1 suggestion is indicated by . The second learning application can be indicated by a title, the different indication being the first learning application of the learning application Asa. The second learning method can be displayed in a manner similar to the first learning application. For example, the learning application Aval can also include a customer rating, a skill set including a skill level and a skill list, a description, and an image. In addition, one of the learning applications may be displayed as a purchase interface. In some embodiments, a public purchase interface may facilitate purchase or multiple learning applications. The third learning application "(Beta)" indicated by the suggestion of the user 1 is indicated by 1926. The third learning application can be indicated using an identifier similar to the first and second learning programs. The Nth learning application "Sigma" indicated by the user 1 is represented by the N9 learning application, which can indicate any suitable number of learning styles, which can be indicated by the advice of the user 1. In some embodiments, the graphics in a particular example may cause the interface to display only a portion of the suggestion. Therefore, an icon 1 930 can be provided to enable the user or one of the user's administrators to provide not only the current currency to approve the trial service 1924 but also to use the package. Note Two Bayesian application recommendations. User selection can be checked 66 200846965 It is also possible to view more learning applications that are indicated by the recommendation and can also be indicated as learning applications. Use a sequence to show learning

As described in reference to Method 1 800, a program may be employed, the order corresponding to its respective suggested value 19 Figure 'If the learning application gamma has a gamma application, the gamma may have increased one of the other users more The level of learning of skills. In some embodiments, the particular order of the learning applications may be further indicated by the corresponding flag 1 932_194. Thus, in this particular example, gamma is rated first, represented by i 932, and beta is rated third, represented by 1938. In addition, the suggestion may not present to the user a learning application that has been purchased by the user or has been used by the user, or may be excluded from the suggestion. For example, a learning application may have a suggested value higher than gamma, but it may have been removed from the suggestion by the suggestion engine. In this way, the redundancy in this recommendation can be reduced and the relevance of the recommendation can be improved. As described in reference to method 1800, at 1812, when a recommendation is determined for a particular user, a group of users can be identified based on at least one matching profile feature. Referring now to Figure 20, which illustrates the z-intent, the schematic identifies various groups and sub-groups of an example user population. As shown in Figure 20, a group of people 2002 can include any number of users who interact with a learning service, such as a local learning service program with a local learning service. 互 4 Mutual 67 200846965 Moving 0 Crowd 2002 also includes Groups 2004, 2006, 2008 and associated users. Group 2004 includes a usage set of one of the crowds 2002, which can be defined as a user of a population of 20 0 02 sharing a first number of matching features. As a specific example, the use of group 2004 shares a profile feature 'which includes the native language. For example, a group of users may have a Chinese native language. Therefore, depending on their profile characteristics, the interrelationships among users in the group 2004 are closer than those excluded from the group 2004 in the crowd. Group 2006 includes a subset of users of the crowd 2004, which can be used to share a second number of matching profile features in the crowd 2002. In this particular example, the second number of matching profiles - the first number of matching profiles associated with the group 2004 are based on their matching profile characteristics, and the users in the group 2 〇〇 6 The relationship is tighter than the group 2 excluded from group 2〇〇6 in group 2004. For example, the users of the group 2004 share the home country setting feature, and the users of the group 2006 can share the use. The characteristics of the building language of the national language and rating. Therefore, the number of groups c may be less than the subset of groups 2_ including - specific users. For the fresh group, the group 2 0 〇 8 is also white, and JL can be used in one of the groups including the crowd, and the second is the number of people in the group. Users of each of them. In this special ' " another number of 曰 疋 疋 疋 , , 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组 群组The use of the slogan is more than the use of 2 〇〇 6 卜 set, the first of the set of 68 200846965 a number of matching profile features. Therefore, the number of users of group 2000 may be less than the number of users of group 2004.

Note that the second number of matching profile features of the definition group 2006 may be the same or different than the third number of matching profile features of the definition group 2008. In addition, the profile feature types shared by the user may be different. Groups 2006 and 2008 can be defined by different matching profile features while sharing the same number of matching profile features. As an example, users of groups 2006 and 2008 can share profile features, including native languages. As a more specific example, group 2006 may include a native language of Chinese and a user age of 10 years old, and group 2008 may include a native language for Chinese and a target learning language for English. It should be appreciated that any number and type of matching profile features can be used to define a user group for the user population. For example, a similar learning level for a particular skill can also be used as a matching profile feature. This document refers to Table 1 to describe a summary of the example profile characteristics. Continuing with reference to Figure 20, group 2010 includes a subset of users from groups 2006 and 2008, which can be defined as users sharing a fourth number of matching profile features in crowd 2002. In this particular example, the fourth number of matching profile characteristics associated with group 2010 is also greater than the second and third number of matching profile characteristics associated with groups 2006 and 2008, respectively. As an example, users of group 20 10 may share a set feature that is not necessarily shared by all users of group 2008 and group 2006. For example, group 2 0 0 6 includes users whose native language is Chinese and whose age is 10 years old. Group 2008 includes the native language is Chinese, 69

200846965 For users whose target language is English, group 20 10 may include native Chinese, the target language is English, and the user is 10 years old. This method can be used according to any suitable number or type. Feature, defining one or more user groups in a user population In addition, as shown in FIG. 20, each user group can be a larger subset of the group. In some instances, a user may be associated with one or more groups based on their respective settings. As described in reference to Method 18000, 1 8 2 0, a weighting factor can be defined in at least some instances based on the profile characteristics of the user and the profile of a user group. Referring now to Figure 21, a graph is shown which illustrates an example weighting factor function. As shown in the non-limiting example in Figure 21, the weighting factor determined by the suggestion engine may increase as the number of profiles changes. For example, referring to the second 0, one user of the group 2008 can be compared with other users of the group 2008 to obtain a weighting factor, and the users of the group 2 0 0 8 are excluded from the group. Comparisons by other users outside of group 2008 also result in a weighting factor, the former being higher than the latter. In other words, the closer the shared profile feature is to a user group, the higher the weighting factor for the comparison. The weighting factor can then be used by the suggestion engine to influence the suggestion. The effect of a particular group on the suggestion may increase as the weighting factor increases. As a non-limiting example, the correlation of the measured changes in the rank of the user group can be adjusted by a weighting factor. In this way, for some users who make recommendations for it, if some of the messages are 〇, the group is assigned. In the user profile, the feature is a restriction map, and the line can be used by the user to determine the number of squats.

200846965 is more closely matched to such users, so they are concerned about users who are less closely matched to those users, although Figure 21 illustrates that the weighting factor can change the number of profiles, but weights The factor can also vary in the type of the feature. As a non-limiting example, the national language may have more impact on the weighting factor than the usage. Thus, it should be understood that any suitable function can be used to determine the weighting factor by the number and type of gear features. This particular skill is determined to be below a user's peer match value (defective skill), then the specific skill may result in a strong learning application or other content for these defective skills. And in FIG. 2, a system for a user of the program may include a learning service program for receiving a plurality of performance data from a plurality of learning applications, for example, receiving a program from the learning application 104. For learning a request from a request to learn the application user via the request for multi-user interaction. Used for matching usage to include one of the associations associated with the learning service program 154B. The matching engine 154A, 154B can be configured to learn the performance of each user received by the plurality of learning applications to generate a matching result, and the impact of the discussion will be more than how to match with the matching. Set the age of a user's club according to the matching settings. If some of the profiles are averaged, those special needles should match the learning of 1 〇6, each of which is used by the group. The learning service application receives a system that matches a plurality of creators and also an engine 154A for matching the self-replicating data to include one or more 71

200846965 matching user groups. As an example, the matching engine 1 5 4 A can be executed locally by the user client device 102 and the optional learning service program is associated. The learning service application can be configured to link the match to the requesting learning application. The learning system can further include a programming interface 108, which is configured to communicate between learning applications that request the learning service. The computerized learning system 100 can further include an online learning service program 11 executed on an online server system configured to be executed via the brain network 120 and the service program executing on the user client device 102. Communication. The matching engine 1 54A, 1 54B can be a component of a learning service program and can be configured to send a matching structure to the requesting learning style via the programming service. The computerized learning system 100 can further include an evaluation engine 150A, 150B with a learning service program configured to determine an evaluated learning level for each of the users based on the effect. It should be assumed that each of the plurality of users determines the level of learning for each skill. The matching engine 154A, 154B can be configured to use an evaluated learning level for each of a plurality of users to match a plurality of users. It should be understood that the learning materials of each of the plurality of users may also form the basis of the matching. The matching engine 154A, 154B can be configured to determine, by the dedicated game base mode 1 72 in the game configuration file, the motor, the 154B, and the system 116 The learning of the online learning application related to the poor solution can be evaluated according to one or more of the skills used by the learning application of the 2008 200846565. As an example, the game configuration settings can be stored in a non-volatile storage device 132a, which can be accessed by the matching engines 154A, 154B. The matches 154A, 154B can be configured to match users according to some skills that are determined to be used by the learning application to match the user's computerized learning system 1 and can include an engine Having been configured to receive a request for matching from the requesting learning application via the application programming interface 〇8, which is used to execute a plurality of users via a learning application to perform multiple User interaction. The matching engine 1 54A, 1 54B can be further configured to process the request by determining the available users of the plurality of available games; reading the performance data of the available users from a learner profile; Comparing the performance data according to a matching pattern, a matching result is generated, the result includes one or more matching user groups and the matching result is sent to the requesting learning application. Figures 22A and 22B illustrate a method for matching a plurality of computerized learning methods 2200. It should be appreciated that the method 2200 can be performed by the chemical learning system 100 as described herein. In 2202, the method includes, in the learning service program 1 〇 6, the performance data of each of the plurality of users from the plurality of learning applications. At 2204, the method includes determining an estimated learning level for each of the plurality of users based on the performance data. The method at 2206' may further include determining those users who are enrolled in the learning service program 114. The learning service program can be executed on a user service, and the 132B engine is used. - The one can be used as a match, and the one can be used to make it even better; the computer can receive the change. > Comment on the green machine 73

200846965 Learning Service Program 1 1 2. The learning service program can be further enhanced by the online learning spears private Π 4, which has an associated matching engine. The 13⁄4 learning service can receive a request from the user to perform multi-user online interaction via a learning method, wherein the user can perform the matching. 208 </ RTI> The method includes receiving a request from a requesting learning application to execute a plurality of user matches for use by the multi-user interaction. Understanding 'can be received from a requesting learning application, performing a match' and the request can include information indicating the type of play that is being applied to the application. As shown in FIG. 22, the method may include determining one or more skills used by the requesting application by referring to a dedicated game base 172 of a game group setting slot file, the file being stored in the learnable The location where the service program is accessed. At 2212, the method can further include the learning service program selecting a matching module for matching the plurality of users based on the type of game received by the requesting learning application. For example, the matching pattern can be selected from a group comprising a leader matching pattern, a team matching pattern, and a parity check matching pattern. Thus, in some instances, a plurality of matching patterns can be provided. At 2214, the method can include matching the plurality of users based on one or more parameters. As shown in 22 16 , the method can include matching performance data of each user received from the plurality of learning applications to match the plurality of users, thereby generating a matching result including one or more User group. As shown in 2218, the method may further include: matching the user profile feature according to one of the plurality of users, matching the service profile, and requesting the tour in the match. Repeat the 74, 200846965 and other users. The matching user profile feature selection group includes the first (or home) language, the target language, the national rating level, the learning level of a skill, age, gender, interest, and storage by a user. Other profile data, or other user profiles associated with the target learning game type. At 2220 ' the method can include matching the plurality of users based on the evaluated learning levels of the plurality of users 2222 'the matching process can be based on those skills determined to be used by the learning program The level of learning. At 2224, the method can further match among a plurality of users who log into the line program' and can access the application resources needed to use the learning application, or register as an online form. Can be used to use the program. In some embodiments, the matching engine is configured to send a read-only message to the users who are detected as online but not logged into the service, asking if they wish to join the interactive play. Group. The matching of the plurality of users is based on one or more of the parameters described with reference to 2216-2224. Referring to Fig. 22, at 2226, the plurality of users can be matched according to the selected matching mode described above with reference to 2212. As indicated by the indication, the matching mode may be a mentor matching mode, and the learning service program may be used to match different learning levels to one or more groups. Each group may include at least one guide to at least one mentee. The instructor may have at least one level of assessment 'the position of one of the mentees assessed by the assessment. A group of homes, for each energy or every application in the application, including the learning of the school, according to the user and learning 75 200846965 as shown in 2 2 3 0, the match The mode is to check the matching mode by the same position. The learning service can be configured according to the mode to match the users of the same level of learning to play the game head-to-head or cooperatively. In some embodiments, the learning service program can be configured to match a user that is substantially similar to the learning level, or can be configured to create a closest match to the user from the user population, Can be practiced. As indicated at 2232, the matching mode may be in a circle matching mode, and the learning service program may be configured according to the mode for matching the user to two or more user teams, the users Have the same level of learning. In some embodiments, the learning service program can be configured to match the user to two or more teams having substantially similar learning levels, or can be configured to use from The most equal match is created in the user population, which can be manipulated. Note that the aggregation team learning level may include: the total learning level of one of the team members, the average learning level of one of the team members, or the intermediate learning level of one of the team members, and may have other Proper polymerization method. In this way, the users can be matched according to a selected matching pattern. At 223 4, the method can further include: suggesting a barrier level to achieve a substantially equal learning level among the matched users. As an example, when the parity check matching mode is selected, a user with different learning bits = can be provided with an obstacle to reduce the difference between the learning levels. It will be appreciated that this barrier can be applied to each of the matching modes in which there is an undesired difference between the learning levels. The method can further include, at 2236, transmitting the matching result to the requesting learning application, and at 2238, displaying the matching result on the graphical user interface of the requesting learning application. As an example, the matching result can be displayed on the login interface 300 of a specific learning application via the user client device 102. Once the matching result is displayed, the computerized learning system 100 is configured to enable the users to perform multi-user interaction based on the matching result. 7 · Prizes

The interaction of the various components of the computer chemistry system 100 with the prize engines 156A, 156B is discussed in detail below. Referring to Figures 1 and 2 discussed above, the learning service program 106 can be configured to receive user performance data 206 from a plurality of learning applications 104. It will be appreciated that the user performance data can be organized according to a predetermined fundamental model such that user learning levels in one or more predetermined learning levels can be measured between a plurality of applications. The learning service program 106 can include an evaluation engine, such as a local evaluation engine 150B, configured to determine an evaluated user learning characteristic based on the user performance data, for example, a user learning level . The learning service program 106 may further include a prize engine, such as a local prize engine 156B, configured to: when the evaluated user learning feature meets or exceeds a predetermined threshold, A "prize" or a score is awarded. When the user learning feature is a skill learning level of a user, the prize engine is configured to determine whether the user learning level meets or exceeds a predetermined user learning level. It should be understood that the evaluation engine may not be a native evaluation guide executed on a local user device.

200846965 Engine 1.50B, but may be an evaluation engine 150A executing on the online server system 116. The online evaluation engine ι5〇Α can be configured to perform an evaluation test to verify that the user has obtained a user learning level that exceeds the predetermined learning level threshold. The learning service program 1 〇 6 can be configured to store a prize in the user profile 110. For example, the information associated with the information is stored in the score array element of the profile 100. The user's profile 1 1 can be stored in the non-volatile storage 132A, 132B, and the storage device can be located in a The machine uses one or both of the end device and the online learning service. As discussed above, the computerized learning system 100 can further include a design interface 108, which is configured to receive user performance data 206 from each of a plurality of learning applications, and to effect the user 2〇6 is stored in the configuration file 11〇 for the learning service program application interface 1 〇8 to be configured to read and write the information related to the prize in the configuration. The learning service program 1 0 6 is further configured to display a graphical interface that includes an illustration of the prize. According to another embodiment, the system may include a learning service program 106 configured to visualize a user interface configured to display a prize awarded to a user by the service program. Based on the user performance in the Complex Application 1 〇 4, an evaluated user's clay level that meets or exceeds a standard threshold is achieved. Referring to Figure 4, as described above, the user interface 400 can evaluate the data prizes for which the data is achieved or not. The device user application program data is taken, the user application instance is shown, and a picture is shown. The learning plan includes one 78

200846965 Prize pane 408, which is configured to display prizes that the user has scored in each of the plurality of learning applications. In a more specific example, each of the displayed prizes includes a ^ prize picture 4 0 9 ' and the completed task associated with the prize. In some embodiments, the prize pane 408 can include a selection, such as a "details" selector configured to display a prize map user interface 1 000, which will be described below with reference to FIG. , showing the details of the prizes won by the user. Alternatively, it can be displayed in the game interface of a learning application or displayed in the view. Figure 10 illustrates a prize graphical user interface of 1000, configured to display the user's semi-private prize information in half of the private friend pane 1 002. Application selector 1 004 can be grouped to select a particular learning application to view prize information associated with a selected application, such as Golden Dragon in the particular embodiment. The prize interface 1000 further includes a prize selection 1 0 06, which is configured to display a plurality of options from the selected application program 1 0 1 0, using a selectable specific prize option from which to perform in the detail view. View. In the specific embodiment, the friends Mei-Mei and Da-rin product information are displayed in the semi-private pane 1 002 of the prize graphical user interface. The semi-private friend pane 1 002 may include information associated with the content, prize points, prizes received, prizes, and a deadline for prizes for each friend. In addition, the prize can be recorded in the form of a package that can be used to make a prize, and the prize is used in the form of the prize.

200846965 Appraisal information, including detailed information about the skills acquired prior to winning a prize, having a pointer to the data record of the assessment. The graphical user interface 1000 can include a selector 1008, selected by a user to enable Friends can't take the prize in this semi-private review. In the particular embodiment shown, the selector will make all of the prizes inaccessible to friends; however, it should be understood that the hidden selector can be provided for each prize. In addition, the learning service program 106 can be configured to send a notification message to the parent of the user who has received the prize to enable the parent to track the date on which the student is learning. The class can be sent to an administrator such as a teacher. For example, the system can be used to send a teacher a prize information for each student in the class. As shown in Fig. 23, a computerized learning method is described which is used together with prizes. The method includes, at 2302, receiving usage data from each of the plurality of learning applications at learning equation 106. At 23 04, the method can further include determining an evaluated user learning characteristic based on the user performance. The assessed user learning can be an evaluation of the user's learning level, or other characteristics, and the number of participants who are not relevant to the learning level. At 2306, the method can include the user performing an evaluation test to verify that the user has obtained or exceeded a predetermined threshold of user learning characteristics. In some instances, the evaluation test can verify that the user has obtained a pre-learning level threshold. The method can further include receiving a parental authorization of the user prior to performing the assessment to perform the assessment test, the assessment being executable via an online learning service. Can be level. The prize is not visible when it is received, and it is used for individual mention. Such a message is configured by the configuration 2300, and the server performance data validation feature is, for example, included with the implementation test for the implementation. Should have 80

200846965 At 23 08, the method can further include placing a prize when determining that the evaluated feature meets or exceeds a predetermined threshold. As discussed above, it may include determining a usage or exceeding a predetermined user learning level threshold. The prize may be further stored in a profile that can be used by the learning service provider. At 2312, the method can further include displaying the prize on one of the graphical user interfaces. Or display the prize on the user interface of the application. At 2314, the method can include transmitting a message from the online message to the parent of the user, the message being related to the discussion as discussed above, as well as the use of awarding prizes, the features representing a learning application Such achievements are not directly related to the acquisition of a learning level. The application developer can specify that a prize will be awarded after a number of play applications have been played or after a perfect online event. In this case, instead of the above steps, the method can include determining that the user has reached a predetermined criterion that can be set by the game developer and then issuing the prize to the user. 8 • Parent Interface The interaction of the various components of the parental graphical user interface learning system 100 is discussed in detail below. Referring to FIG. 1 and FIG. 2, the learning service program 106 can be configured to estimate that the user learns to give the user a learning level of 2310, and the method program access enables the learning service to be performed in a learning service. Notify the issuance of I Prizes. The learning characteristics come within the scores, such as, a learning should reach a program that should be used to a use of 2304-2308, the prize criteria, after this determination, the computer text discussed in the paragraph, used for the complex number 81 200846965

Learning applications 104 receive learning materials. The computerized learning system 100 can include the user's profile 110, which is configured to store the learning material in a non-volatile storage device accessible by the learning service program 106, and includes the learning The parental graphical user interface 11 00 displayed by the service program can be configured for parental viewing including learning materials associated with the profile. It should be understood that the parent user interface can be displayed by at least one of the following methods: webpage, email, SMS (newsletter service) message, native service program graphical user interface, and mobile phone supporting the webpage, or other suitable Display device or format. As described above, the learning service program 106 can include an evaluation engine 150A, 150B configured to determine an evaluated user learning level based on the user performance data and to store the learning level in the user. The profile is 11 〇. The evaluated user learning level can be stored in the profile 11 根据 according to a profile base mode. The learning service program 1 6 may further include a statistics engine 164A, 164B configured to perform learning data stored in the user's profile 110 with data stored in other user profiles. Aggregate to produce a statistical comparison. The learning materials can be uploaded from the user's profile 11 0. The learning materials of other users (e.g., defined by various components such as the friend array, the group array, and the group member array according to the profile) can be uploaded from other aggregated user profiles. The learning service program 106 can include a suggestion engine 152A, 152B configured to determine a recommendation for the user's ongoing operation based on the data stored in the learner profile. Referring now to Figure 11, there is shown a parental graphical user interface 82

200846965 11 00. The interaction of the various components of the parental graphical user interface system 100 is discussed in detail below. The discussion program 106 as above can be configured to learn data from a plurality of learning applications, each of which can be accessed by a learning service program 106. Learning materials. The parental graphical user interface 1100 can be opened by selecting the "parent" button of 300, which is configured to be viewed by the parent to view the knowledge associated with a user profile, either by any of the following methods. Or a variety of user interface: web page, email message, newsletter service (message, a native service program graphical user interface and support phone. The parent graphical user interface 1100 can include various 3 states for presenting information to parents The information presented in some embodiments may include various information from the learning service program 106, as shown and described above with reference to Figure 1. For example, as discussed above, the evaluation engine may be grouped The information is used to determine an evaluated user learning level based on the information provided by a learning application, and is stored in the user's profile 110. The learning service further includes a statistics engine 164A, 164B. , which can be aggregated by the learning materials stored in the user's profile 110 and the data in the user's profile, thereby generating Comparison of the statistics of these other users. The computer chemistry of the learning service, the learning service 104 receives the learning input in the memory and the learning interface to present a parent learning material. The parent makes the "SMS" page The action &amp; board, the group generated by the parent engine and the user of the first figure 150A, 150B, the learning bit program 106 is configurable for storing the other user and the formula 106 83 200846965 includes a suggestion engine 152A, 152B configured to determine a recommendation for ongoing operation of the user based on data stored in the learner profile.

Information from each of these engines can be displayed in the parental graphical user interface 1100. For example, the parental graphical user interface 110 can be configured to display the evaluated user learning level as determined by the evaluation engine 150. In the particular embodiment, the evaluated learning level is displayed in progress pane 1 102 as a plurality of learning levels of one of the skills scheduled over time. Similarly, a statistical comparison of the user to other users can be displayed in a statistical comparison panel 104, which is generated by the statistics engine 164. In addition, suggestions generated by the suggestion engines 152, 152, may be displayed in a student suggestion panel 116. As a specific example of the suggestion, one or more of the recommended learning applications for the user may be listed in the suggestion panel 116. Continuing with reference to Figure 11, the parent graphical user interface 1100 can be configured to display a summary of user behavior in one or more learning behavior programs utilized by the user. In the particular embodiment shown, a plurality of learning applications are listed in a user behavior summary panel 810, which has a corresponding number of play and play dates. For example, this information can be obtained by uploading from the user's profile data according to the profile base mode. It should be appreciated that the information shown in the User Behavior Summary panel 110 is displayed for example purposes, and any other suitable information can be displayed in the User Behavior Summary panel 1108. The parent graphical user interface 1 1 0 0 may further include a friend status face 84 200846965

A board 1110, which shows which friends of the users are currently online, and also includes a service level vocabulary status panel 11 1 2 showing progress in obtaining vocabulary in one or more learning applications. The parent graphical user interface 1100 can be further configured to display a control panel 111 4 on the parent graphical user interface, the control panel 1 1 14 configured to receive control parameters selected by the parent, It manages the user behavior adjusted by a parent on the computerized learning system 100. Examples of behaviors that can be adjusted include, but are not limited to, approved games, approved friends, and/or approved game play times. Figure 24 illustrates a computerized learning method 2400 for utilizing a parent graphical user interface with a plurality of learning applications. The method includes, at 242, receiving learning material from each of the plurality of learning applications at the learning service program 106. At 2404, the method includes storing the learning material in a profile of the user, the profile being stored in non-volatile memory accessible by the learning service program. It will be appreciated that the user&apos;s profile can be stored in non-volatile memory located in one or both of a local user client device and an online learning service. At 2406, the method can include displaying a parental graphical user interface 1100 configured to include a parental view of the learning material associated with the profile. At 2408, the method can further include granting the authorized parent of the user access to the parent graphical user interface. For example, one of the parental identification codes stored in profile 110 can be associated with an encrypted password of one of the authorized parents of the user. 85 200846965

The method can include, at 2410, a learning material that displays an engine from the learning service program 106. For example, the method may include, at 24 1 2, reading an evaluated user learning level of a skill from the user's profile 11 0, and setting the user's profile on the parent graphical user interface 11 00. The assessed user learning level is displayed in the parental view. In addition, the method can display a statistical data comparison on the parental graphic user interface 1 100 at 2414, the comparison is performed on the learning materials stored in the user profile 1 1 0 and stored in other user profiles. The data is compared. The method may further include, in 2416, displaying a suggestion to the user on the parental graphical user interface 1100, the suggested selection being based on data stored in the user&apos;s profile 11&apos;. The method can also include, in 2418, displaying a summary of user behaviors in the plurality of learning behavior programs on the parental graphical user interface 1100, and displaying an online friend about the user on the parent graphics user 1100 at 2420. Information, and/or at 2422, on the parental graphical user interface 11 00, information about the new skills acquired by the user is displayed. The information displayed by the method can be implemented on the panel of the parental graphical user interface 00, as described above. The method may further include, at 2424, displaying a control item on the parent graphical user interface, the control item being configurable to receive control parameters selected by the parent, the management being on the computerized learning system 100 User behavior adjusted by parents. The one or more parental adjustments may be selected by the authorized parent of the user in the control of the profile 110, as described above, based on the profile base. These parental adjustment behaviors can be selected in the control panel 111 4 on the parental graphical user interface 11 00. Parental Adjustment Behavior 86 200846965 Examples include, but are not limited to, whether a user is allowed to associate with other users selected via a friend interface, whether a game or other application is an allowed application, a game or application Whether the choice within is an allowed choice, whether the user is allowed to use a game or application as one of the learning applications at a particular time, at a particular time, or whether one of the actions can be scheduled "Exchange", for example, the amount of time spent in learning behavior can be used to exchange viewing video or other forms of entertainment.

9 · Management interface

The interaction of the various components of the computer chemistry system 100 with the graphical user interface of the administrator is discussed in detail below. Two exemplary administrator graphical user interfaces are shown in Figures 12 and 13, namely a teacher administrator graphical user interface 1200 and an organization administrator interface 1300. The Teacher Administrator Graphical User Interface 1 200 is configured to display the student's learning materials in a teacher's class, and the organization administrator interface 1 3 00 is configured to display management materials and learn individual and aggregate learning materials. In this context, the term “organizational administrator” means the official, official government or other person authorized to review the learning materials of the entire school, school district, geographic area, or other student population within the aggregate. In this paper, the term “teacher administrator” refers to a teacher in a student class. Therefore, the term “administrator” is used to refer broadly to those who have the authority to educate a student population. It should be understood that in this paper, a teacher is considered an administrator type. The student population does not appear in a formal educational institution, but can be an informal group. 87

200846965 As discussed above, the learning service program 106 receives a plurality of materials in a plurality of learning applications 104. The computerized learning system 100 can further include a report that responds to the parameters selected by the administrator for the purpose of generating a report and configuring it to display the graphical user interface 1200, 1300. Management information should be received and processed by the 1 6 0 A, 1 6 0 B. The teacher and organization administrator graphical letter 1 300 can include a selector 1202, 1 302 whose members select a reference and the administrators select the basis on which the parameter is learned. As discussed above, the learning service program 1 06 150A, 150B is configured to learn the user's learning level based on the learning, wherein the evaluated user is shown in the teacher and organization administrator graphical user learning service. The program 106 can further include statistical data that is configured to aggregate a plurality of users' learning administrator graphical user interfaces 1200, 1 300 to display data comparisons. The learning service program 106 can include a package 1 52B configured to be stored in the school material to determine one or more of an administrator graphical user interface 1200, 1 300 for ongoing operation of the user. The person shows a suggestion, and the suggestion is chosen. Learning service program 1 06 can include matching quotes? | Can be configured to be used by the user's learning engine 160A, 160B, privately and process the learning fund for teacher and organizational management understanding, the reporting engine is used to create these reports, user interface 1200, configuration The information used for receiving management for constructing a display may include an evaluation engine metric to determine an evaluation user's learning level to be displayed on the 1200~1 300 on the Α Α 164, 164 Β data. Teachers and organizations show one of the learning materials and the recommendation engine 152Α, the student's profile proposal. Teachers and organizations show that 154Α, 154Β are selected based on the learning materials, and 88 200846965 is configured to match two or more users in the use of q耆. The matching process is based on the learning service. The program 106 is the learning material received by the two or more users. Figure 12 illustrates a specific embodiment of the teacher management Changbei graphical user interface 1200, which includes a selection crying &lt;# ', for example, a report selector 1202, which is used to receive the teacher's camp Parameters, wherein the teacher administrator selection parameters are used to form a basis for a learning material report. In a specific embodiment, the 管理员6 敎 管理员 管理员 administrator selection parameter can be used to make one of the teacher administrator graphics user interface 1200 such as the report 12 04 learning information φ 屋 131 Ning Xian’s learning materials may include learning level information. For example, the learning data parameter 1 2 0 6 ' can be selected in the fun % 〇 selector 12 〇 2 so that the learning qualifier is displayed at 1 204 to display the learning level data. In another embodiment, the deer-^T is not visible to the learning material on the teacher administrator's graphical user interface 1200, and the learning associated with a predetermined group of users. data. For example, the learning material parameter 1206, 丨, / a ^ can be selected in the report selector 12 〇 2 to include one of a group of one or more users. The predetermined group of users may include, for example, at least one of a classroom, (4), a school district, a state, and a nationality. A learning selector 1212, a subject selector 1214, and a report template selector 1216 may be provided to provide separate learning subjects and report templates for the learning material report. In addition, it should be understood that in the particular embodiment shown, the data in the selectors 1 2 1 2-1 2 1 6 is populated by demographic data selection 1 2 1 8 . The demographic selector 1 2 1 8 includes a drop-down menu, which can be used by the selector to select the class, year, semester and monthly injury of the data selected by the menu. Medium, this 89

200846965 and other information will be used by the user to further identify the information in the name. If it is not possible to obtain data from the electrical refinement learning system 100, &lt; to learn some and all demographic data by refining the betel library system with a special number π. In addition, it should be understood that in the embodiment, it is collected from the computerized and self-contained learning system 100 to be combined with Bai Xueyu from other sources to generate other sources such as standardized measurement. The results of the Huawu military and the demographic statistics are discussed in the above article. The statistics of the data are compared with one of the learning materials. For example, a statistic comparison 1208 can be included in the report 1204. The graphical user interface 12 更 更 法 法 / / 〇〇 〇〇 〇〇 〇〇 炅 炅 显示 显示 显示 显示 显示 显示 显示 显示 显示 显示 显示 显示 显示 显示 显示 显示 显示 显示 显示 显示 显示 显示 建议 建议 建议 建议 建议 建议 建议 建议 建议 建议 建议 建议An assessment of multiple learning levels and a list of one or more recommendations. Below is a list of consistent reports that can be generated through the teacher interface. 1 · Individual skill level (diagnosis, proficiency) 2 · Individual improvement of each skill over time (diagnosis) 3· and other proficiency measurement, standards (for example,

Individual comparisons of Flesch-Kincaid reading levels, and | 4 · Individual percentage points for profile characteristics (you are rated by age, year of study, first language, relative to class size) 5· with each The sample of the student's model is compared: the report 1204 is obtained from the records of the population's unified school, and some of the learning materials can be reported in 1204, shaking, and so on. 3 1200 can display one or more of the teacher administrators in the form of a chart. For example, one of the skills administrators uses the national test. The mapping, for example, the whole, the other people in the class.

200846965 6. List of abilities associated with each student's skills 7. Prizes for each student 8 · Total vocabulary of each student's known words 9. Follow-up skills acquired by each student 10. Each student is lagging Skills 11 vs. third-party proficiency measurement, standards (such as the national test Flesch-Kincaid reading level) class 12. According to the subject (for example, overall, by age, according to the age of the learning language) class percentage of the profile characteristics The class distribution of the rated students (for example, the percentage of skills completed according to the learning content). Figure 1 3 illustrates an example of an organization administrator's graphical user interface, which includes an organization administrator view of the learning materials for use by the organization, except for the learning collected from the computerized learning system 100. The Manager Graphical User Interface also includes external source material and is configured to retrieve data from a broader user demographic data group. Various management materials can be selected via the report selector 1 302. The reporter 1 302 typically includes a demographic selector 1 304 for receiving user selections of geographic regions, such as states, classes, school districts, and neighborhoods/neighborhoods within a school area, from which Geographical area management data to generate management reports 1 3 1 0. The report selector 1 3 02 includes an administrative data selector, such as a computerized learning system data selection 016 and an external data selector 1 308, which are configured to enable the use of the test, press, or per-person data. The selected configuration of the school district to obtain the alternatives can be 91 200846965 enough 4 inches 疋 choose in the official report 1 3 1 〇 contains which poor materials from external sources. The computerized learning system data selector 13〇6 is typically configured to enable the user to select data collected by the computerized learning system 1 while the external lean selector 1 308 is typically configured for Enables the user to select materials that are harvested by the second party and the proprietary source, such as national consideration statistics or own records within a learning area. In a specific example, the external data may include financial information, such as salary data, management fee data, and reward information that the administrator may wish to compare and associate. This information may be obtained from a third = or proprietary service that resides outside of the Learning Service and may be merged with the Learning Services 7 through the use of web services. The external information may also include management information, such as test data in the form of standard methods and scores. For example, the test data may include TOEFL scores and/or Flesch_Kincaid or other proficiency data for one or more state or national exams. In still another embodiment, the external data may also include organizational data collected from services other than the learning service and merged with the learning service data for reporting purposes. For example, the organization's information may include • I or multiple registrations, banned data, gender distribution data, and teachers' absenteeism. Various other exemplary data types are described in Figure 3. In the illustrated embodiment, the management report 1310 can be configured to display a report\ which includes a graphical textual representation of the computerized learning system data, and an example of the English median evaluation learning level. In addition, as shown at 131〇A, the management report can be configured to display a report containing a graphical or textual representation of the computerized learning system, which is related to other materials from third parties or proprietary sources. The merger 'for example, the English median assessment learning level is compared with the English 92 200846965 median standardized test score. In addition, it should be understood that the organization administrator graphical user interface is configured to provide administrator access to the teacher administrator graphical user interface via the link 1 3 1 4, which has the organization administrator level permission. 'This allows for the generation of all reports listed above for individual students or on a class basis, plus reports for larger aggregate student groups. 1 · School/city/state comparison with third-party proficiency measurement, standards (eg 'national test money, Flesch-Kincaid reading level')

2. School/city/state percentage rating for profile characteristics by subject (eg, overall, by age, by age of study, national language) 3 • Student's school/city/state distribution (eg 'complete by content| Than or the level of each skill). The administrator can use the method in the plural to learn the application at 25〇3, to display the program status. The administrator user interface 1300 can also be configured for the display pane 1 3 12 in the pane. Within, for example, you can display books and software that organize your interests. In the particular embodiment shown, a list of businesses is shown. Within the market pane 1312, a link can be provided through which other information can be accessed or purchased. Figure 25 illustrates a computerized learning method that utilizes an administrator graphical user interface using a learning application. Included, at 25 02, in the learning service program 106, receiving learning materials of a plurality of users from each of the plurality of programs, and receiving a request for learning materials from an administrator client device in an administrator graphical user Interface 1300. In the native service ' can be received by an application design interface, bite 93

200846965 The service program receives the request via an online service. At 2 5 04, the method can include transmitting the selected profile to the requesting administrator client device for display in the administrator graphical user interface. At 25 06, the method can further include displaying a selector on the administrator graphical user interface 1300, the selector configured to receive learning profile parameters selected by the administrator, the parameters being managed in the administrator graphic The learning material displayed on the user surface 1300, and at 2508, the method further includes arranging the learning material in the administrator user interface 1300 according to the selected learning data parameter. It should be understood that the learning materials can be used by aggregating people and can be combined with physical materials that are not received through the computerized learning system 100 to generate reports of the above type. At 2510, the method can further include displaying a statistical comparison of the learning material on the administrator graphical user interface. At 25 1 2, the method further includes displaying a suggestion for one or more of the plurality of users, the suggestion being based on the learning material selection. At 2514, the method can further include granting access by the administrator to access the graphical user interface of the administrator. It should be noted that the steps shown in Figure 25, particularly steps 2506-2514, occur in any suitable order, which are related to each other and to steps 2502-2504. It should be understood that the particular embodiments of the invention are intended to be illustrative and not restrictive, and the scope of the invention is defined by the scope of the accompanying claims. Modifications in these ranges are intended to be included in the scope of such applications. The selection of the root surface can be based on the weight of the surface. The method can be improved. 94 200846965 [Simplified Schematic] FIG. 1 shows a schematic description of a specific embodiment of a computerized learning system. Figure 2 shows a schematic depiction of one embodiment of a user client device. Figure 3 illustrates a specific embodiment of a graphical user interface that can be used to log into a learning service program of one of the computerized learning systems. ® Figure 4 shows a specific embodiment of a graphical user interface for presenting information relating to a profile of a user. Fig. 5 is a block diagram showing a specific embodiment of one of the profiles of a user. Figure 6 shows a block diagram of one embodiment of an application programming interface that can be used by a learning service program of one of the computerized learning systems.

Figure 7 illustrates a specific embodiment of a graphical user interface that can be generated by a learning application that describes the game play. Figure 8 illustrates another embodiment of a graphical user interface that can be generated by a learning application that describes game play. Fig. 9 is a diagrammatic view showing a specific embodiment of a scaffold support system including push-in and extraction support. Figure 10 illustrates a specific embodiment of a graphical user interface that presents user prize information. Figure 11 shows a specific embodiment of a graphical user interface for presenting information about the user to a parent of a user. Figure 12 illustrates a specific embodiment of a graphical user interface for presenting an administrator with information about the user group to one of a group of users. Figure 13 illustrates a specific embodiment of a graphical user interface for presenting information to one administrator regarding one or more schools.

Figure 14 is a flowchart showing a process flow of a method for collecting user performance data from a plurality of learning applications, and storing the user performance data in one of the user profiles. . Figure 15 illustrates a process flow of one embodiment of a method for utilizing a base modeling learning level between a plurality of learning applications. Figure 16 shows a process flow of another embodiment of a method for learning level using a base model. Figure 17 illustrates a process flow for one of the embodiments of a method for providing support to a user in response to a challenge. Figures 18A and 18B illustrate a process flow of one embodiment of a method for providing a recommendation to a user. Figure 19 illustrates a specific embodiment of a graphical user interface for presenting a suggestion to a user. Figure 20 shows a diagram depicting a group of example users of a group. Figure 21 shows a curve of an example function that describes how a weighting factor can be determined based on a number of matching profile characteristics. 22A and 22B illustrate a method 96 Office46965, a process flow for matching an application to an interactive learning application. Figure 23 illustrates a process flow for one of the embodiments of a method for providing a prize to a user. Figure 24 illustrates a process flow for one of the embodiments of a method for providing parents with access to user information. Figure 25 illustrates a process flow for one of the embodiments of a method for providing an administrator with access to user information.

[Main component symbol description]

100 computerized learning system 102 user client device 104 learning application 106 learning service program 108 application programming interface 110 configuration file 112 local learning service program 114 online learning service program 116 online server system 118 data storage device 120 computer network Road 122 Wide Area Network 124 User m Into Device 126 Display 97 200846965 128 130 132 134 136 138 140 142 Φ 144 146 148 150 152 154 156 158 160

162 164 168 Audio Speaker Peripheral Non-volatile Storage Device Local Point-to-Point Client Device Remote Point-to-Point Client Device Parent User Device Device User Device Device Network User Interface Module Parent Interface Module Administrator Interface Module Evaluation Engine Suggestion Engine Matching Engine Reward Engine Arbitration Engine Reporting Engine Synchronization Engine Statistics Engine Recommendations 170 Statistics 172 Dedicated Game Base Model 174 Scaffolding Base Model 200 Graphical User Interface 98 202200846965 204 206 208 210 212 214 216

300 302 304 306 308 310 400 402 403 408 409 410 412 502 504 Challenge Presentation Mechanism User Response Mechanism User Performance Data Game Engine Hawk Engine Support Support System Driver Network Interface Login Interface User Selector Parent Selector Administrator Select Add New User Selector Guest Selector User Interface User ID Picture Prize Pane Prize Picture Learning Level Progress Pane Available Game Clearing Unit Data Setting 99 200846965

506 Control 508 Community 510 Use 512 Skills 514 Game 516 Student 518 Read 520 Say 522 Write 524 Spell 526 Listen 528 Plus 530 Subtract 532 Multiply 534 Divide 536 Eagle 538 Develop 600 Set 602 Update 604 Read 606 Write 608 Read 610 Write 612 read and limit member information learner level data storage device level area

File Application Interface Set Level API Level API Save Game API Save Game API Game Settings API Game Settings API 100 200846965

614 Game Storage 616 Read Storage 618 Read SrJL·5 Set 620 Read rtJL· δ Set 700 Game Interface 702 Set File 704 Challenge Module 705 Extract Support 706 Challenge Display 707 Image 708 S Mark Language 710 g Language 712 National Language 714 Native 716 Response Module 720 π Response 721 Response Support 722 Cost Meter 724 Dictionary 902 Extraction Support 904 Extraction Support 910 Push Support 1000 Prize Graphics 1002 Semi-Private User Interface Pane

API

API API file API status column Selector pane Written support selector Spoken support selector Written support selector Speaking support selector Selector Selector request 101 1004200846965

1006 1008 1010 1100 1102 1104 1106 1108 1110 1112 1114 1200 1202 1204 1206 1208 1210 1212 1214 1216 1218 1300 Application selector prize selector selector prize option parent graphic user interface progress pane statistical comparison panel student suggestion panel summary panel parent Graphic User Interface Service Level Vocabulary Status Panel Control Panel Teacher Administrator Graphic User Interface Selector Report Learning Data Parameter Statistics Comparison Suggestion Pane Learning Selector Account Selector Report Template Selector Demographics Selector Organization Administrator Interface Selector 102 1302 200846965

13 04 1306 1308 13 10 13 12 13 14 1900 1902 1904 1906 1908 1910 1914 1918 1920 1924 1926 1928 193 0 1932 1934 1936 193 8 1940 Demographic data selector computerized learning system data selector external data selector management report market window Grid Link Suggested Login: User 1 Suggests First Learning Application Title Customer Rating Description Purchase Interface Selectable Icon Second Learning Application Third Learning Application "Beita" Learning Application "Sigma" Selectable Graphic Mark Marker Marker 103 200846965 2002 2004-2008 Crowd Group

104

Claims (1)

200846965 X. Applying for a patent garden: 1 · A computerized learning method' includes the following steps: In a learning service program, receiving a write request from a first learning application to learn the level of a skill and/or Or other learning materials are written into a user profile. The user profile includes a plurality of skills and a learning level for each skill. The skills and learning levels are defined according to a profile model; The learning level of the skill and/or other learning materials are written into the user profile; receiving a read request from a second learning application to read the learning level of the skill in the user profile and / or other learning materials; retrieve the learning level and/or other learning materials from the user profile; and send the learning level and/or other learning materials to the second learning application. 2. The method of claim 1, further comprising the step of: determining that the write request is authorized before writing the learning level of the skill to the user profile. 3. The method of claim 1, wherein the read request and the write request are received via an application programming interface. 4. The method of claim 1, wherein the skill is to master a majority of the vocabulary words in a target language of 105 200846965, and wherein the learning service program is configured to respond to a read request A learning application that transmits skill and learning level information from a user profile indicating a set of vocabulary words that have been demonstrated by a user using a learning application and/or the learning service program to grasp the words . 5 · A computerized learning method, including the following steps: In a learning application, a read request is sent to a learning service program for reading a stored learning level and/or other learning material from a skill in a user profile. The user profile can be edited by the plurality of other learning applications via the learning service program. The learning level and/or other learning materials and skills are defined according to a profile base model; receiving a response to the read request And transmitting the learning application to the learning application, the response including the learning level of the skill and/or other learning materials; determining a user profile based on user performance data from the learning application and predetermined learning evaluation rules A skill learning level should be updated to an updated learning level; and a write request is sent to a learning service program to modify the learning level of the skill in the user profile to an updated learning position quasi. 6. The method of claim 5, further comprising the steps of: presenting a challenge to the user via the user interface of the learning application prior to the determining step; and 106 200846965 - by the learning application The user of the program receives a response to one of the challenges; wherein the user performance data is based on the response of the 拙 —— - ^ 挑 。. The method further includes the following steps: 1. Supporting the selector, as described in the method of claim 6 of the patent scope, and assisting the user to respond to the challenge via the user interface; 1 wherein the use The performance data includes support history data indicating the user's use of the support selector. 8. The method of claim 7, wherein the support selector is configured to enable the user to select support in a plurality of support categories. Each support category corresponds to the set base. One of the techniques defined in the model. 9. The method of claim 8, wherein the support selector is configured to enable a user to write, speak, speak, and target the user's native language and the user's target. The method of claim 7, wherein the support selector is one of a challenge support selector and a response support selector, the challenge support selector group The state is for enabling the user to select support to understand the challenge presented to the user, the response support selector via the group 107 200846965 for enabling the user to select support to respond to the challenge. 11. The method of claim 5, further comprising the steps of: measuring a response time of the user to respond to the challenge; wherein the user performance data further includes the response time. 12. The method of claim 5, further comprising the step of: calculating an incorrect response to the challenge received from the user premises The user performance data further includes the number of incorrect responses. The method of claim 5, wherein the user performance data includes response data based on the user's response. 1 4· The method described in claim 13 of the patent scope further includes the following steps: determining the accuracy of the response; The response information includes the accuracy of the response. 1 5 - The method of claim 14, further comprising the steps of: receiving a spoken response from the user via a microphone; and • determining the accuracy of the spoken response; wherein the response includes the spoken language The accuracy of the response; and the spoken language ability of the skill in a target language; and via a game-based learning assessment module, 108 200846965 to determine that the stored learning level of the skill should be updated The determination process is based, at least in part, on the accuracy of the spoken response to an updated learning level. 1 6 - The method of claim 14, further comprising the steps of: receiving, by the user interface, a written response from the user; determining an accuracy of the written response; wherein the response includes the The accuracy of the written response; ® where the skill is the written language ability of a target language; and wherein the stored learning level determined by the game-based learning assessment module should be updated to an updated learning The determination process is based at least in part on the accuracy of the written response. 1 7. The method of claim 7, further comprising the step of displaying a cost to the user, the cost meter providing an immediate indication of a cost to a support selector during the challenge This use is associated. 1 8. A computerized learning system, comprising: a plurality of learning profiles stored in non-volatile memory, each learning profile being associated with a user, each profile comprising a profile based on a profile Organizing learning materials comprising one or more skills and an evaluated user learning level of one of each skill selected from a plurality of possible learning levels; and a learning service program Configured for use from a plurality of learning applications 109 200846965 receiving requests for each of the learning profiles of each skill to be written to each of the user profiles, or reading from each of the user profiles If you are learning materials, please receive them through an application design interface. 19. The system of claim 18, further comprising: an arbitration engine configured to determine whether each of the reads and writes is authorized. 20. The system of claim 18, wherein the skills are in a majority of vocabulary words, and wherein the learning service program is configured to receive a read request to read a vocabulary word set for a user, In response to a request from the learning application, most of the new vocabulary is written to the user profile. The ability to request such a request is included in the connection and the word 110